Stocks - Q : Quality | V : Valuation | PT : Price Trend
Funds - P : Performance | Q : Quality
Funds - P : Performance | Q : Quality
BSE: 543398 | NSE: LATENTVIEW | Business Support | Small Cap
Past 10 year's financial track record analysis by Moneyworks4me indicates that Latent View Analytics Ltd is a good quality company.
The key valuation ratios of Latent View Analytics Ltd's currently when compared to its past seem to suggest it is in the Overvalued zone.
The Price Trend analysis by MoneyWorks4Me indicates it is Weak which suggest that the price of Latent View Analytics Ltd is likely to Fall in the short term. However, please check the rating on Quality and Valuation before investing.
Data adjusted to bonus, split, extra-ordinary income, rights issue and change in financial year end.
Value Creation Index Colour Code Guide ⓘ
| Mar'15 | Mar'16 | Mar'17 | Mar'18 | Mar'19 | Mar'20 | Mar'21 | Mar'22 | Mar'23 | Mar'24 | TTM | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ROCE % ⓘ | 26.6% | 41% | 55.3% | 45.4% | 32% | 30.2% | 29.3% | 21.2% | 17.2% | 15.5% | - |
| Value Creation Index ⓘ | 1.0 | 2.0 | 3.1 | 2.4 | 1.4 | 1.2 | 1.2 | 0.6 | 0.3 | 0.2 | - |
Growth Parameters ⓘGrowth Parameters Colour Code Guide ⓘ | |||||||||||
| Sales ⓘ | 119 | 174 | 238 | 235 | 289 | 310 | 306 | 408 | 539 | 641 | 787 |
| Sales YoY Gr. | - | 46.9% | 36.8% | -1.3% | 22.9% | 7.4% | -1.4% | 33.3% | 32.1% | 18.9% | - |
| Adj EPS ⓘ | 1 | 1.5 | 3.4 | 3.7 | 3.4 | 3.9 | 5.3 | 6.4 | 7.4 | 7.5 | 8 |
| YoY Gr. | - | 47.5% | 133.6% | 9.7% | -9.9% | 16.6% | 34.6% | 21.4% | 14.6% | 2% | - |
| BVPS (₹) ⓘ | 2.9 | 4.5 | 7.8 | 11.8 | 15.6 | 20.3 | 25.5 | 51.1 | 58.7 | 66.4 | 70 |
| Adj Net Profit ⓘ | 16.7 | 24.6 | 57.2 | 63.5 | 57.2 | 66.7 | 90.3 | 129 | 151 | 155 | 166 |
| Cash Flow from Ops. ⓘ | -8.5 | 22.3 | 69.7 | 23.3 | 59.1 | 63 | 89.9 | 87.4 | 97.4 | 115 | - |
| Debt/CF from Ops. ⓘ | -2 | 0.8 | 0.1 | 0 | 0 | 0 | 0.3 | 0 | 0 | 0 | - |
CAGR Colour Code Guide ⓘ
| 9 Years | 5 Years | 3 Years | 1 Years | |||||
|---|---|---|---|---|---|---|---|---|
| Sales ⓘ | 20.6% | 17.3% | 28% | 18.9% | ||||
| Adj EPS ⓘ | 25.3% | 17.4% | 12.4% | 2% | ||||
| BVPSⓘ | 41.5% | 33.5% | 37.6% | 13.2% | ||||
| Share Price | - | - | -11% | -34.8% | ||||
Performance Ratio Colour Code Guide ⓘ
| Mar'15 | Mar'16 | Mar'17 | Mar'18 | Mar'19 | Mar'20 | Mar'21 | Mar'22 | Mar'23 | Mar'24 | TTM | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Return on Equity % ⓘ | 39.8 | 39.5 | 54.9 | 37.8 | 24.3 | 21.7 | 23 | 17.6 | 13.5 | 12 | 11.8 |
| Op. Profit Mgn % ⓘ | 16 | 19.5 | 27.5 | 31.8 | 23.3 | 25.9 | 34.4 | 29.9 | 26.9 | 21.3 | 22.1 |
| Net Profit Mgn % ⓘ | 14.1 | 14.1 | 24 | 27 | 19.8 | 21.5 | 29.5 | 31.5 | 28 | 24.2 | 21.1 |
| Debt to Equity ⓘ | 0.4 | 0.2 | 0 | 0 | 0 | 0 | 0.1 | 0 | 0 | 0 | - |
| Working Cap Days ⓘ | 87 | 104 | 96 | 117 | 110 | 116 | 123 | 115 | 114 | 144 | 232 |
| Cash Conv. Cycle ⓘ | 48 | 62 | 59 | 65 | 55 | 53 | 62 | 59 | 58 | 55 | 216 |
Sales growth is growing at healthy rate in last 3 years 27.95%
Net Profit is growing at healthy rate in last 3 years 12.39%
Sales growth is good in last 4 quarters at 28.64%
Return on Equity has declined versus last 3 years average to 11.80%
| Standalone | Consolidated | |
|---|---|---|
| TTM EPS (₹) | 5.4 | 8 |
| TTM Sales (₹ Cr.) | 326 | 787 |
| BVPS (₹.) ⓘ | 57.6 | 70 |
| Reserves (₹ Cr.) ⓘ | 1,168 | 1,425 |
| P/BV ⓘ | 6.27 | 5.15 |
| PE ⓘ | 66.32 | 44.91 |
| From the Market | |
|---|---|
| 52 Week Low / High (₹) | 340.40 / 575.00 |
| All Time Low / High (₹) | 305.25 / 755.00 |
| Market Cap (₹ Cr.) | 7,453 |
| Equity (₹ Cr.) | 20.7 |
| Face Value (₹) | 1 |
| Industry PE ⓘ | 38.9 |
| Mar'24 | YoY Gr. Rt. % | Jun'24 | YoY Gr. Rt. % | Sep'24 | YoY Gr. Rt. % | Dec'24 | YoY Gr. Rt. % | |
|---|---|---|---|---|---|---|---|---|
| Sales (₹ Cr.)ⓘ | 172 | 21.7 | 179 | 21.1 | 209 | 34.2 | 228 | 37.5 |
| Adj EPS (₹) ⓘ | 2.2 | 31.7 | 1.9 | 18.1 | 1.9 | 16.9 | 2 | -10.2 |
| Op. Profit Mgn % ⓘ | 23.53 | 217 bps | 21.39 | 238 bps | 21.67 | 189 bps | 22.09 | -11 bps |
| Net Profit Mgn % ⓘ | 26.36 | 211 bps | 21.76 | -49 bps | 19.48 | -238 bps | 18.70 | -938 bps |
| Pledged * | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
|
Particulars |
Q1FY24 |
YoY Trend |
Comments |
|
Revenue |
148 |
+23% |
|
|
EBITDA |
28 |
-19% |
|
|
EBITDA Margin |
19% |
-1000 Bps |
Annual wage inflation and full cost of GTM (Go-to marketing) personnel hired in the previous quarter led to a reduction of ~700 bps in EBITDA |
|
PAT |
33 |
+4% |
|
Good revenue growth, however margins were a miss.
About the Company
LatentView Analyticsis a global digital analytics Company that inspires and transforms businesses to excel in the digital world by harnessing the power of data and analytics. The Company provides a holistic view of the digital consumer, enabling companies to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates and optimise investment decisions.
The business model is characterised by offerings of Business Intelligence & visualisation, Business Intelligence & Visualisation services and Strategic insights. In terms of level of engagement, there are Pilot consulting engagements & proof of concepts, fixed fee & duration projects and Long-term managed services
The Company is a partner to enterprises worldwide, and serves over 30 Fortune 500 in the Retail, Consumer, Financial, Technology, and Healthcare sectors. LatentView currently has 1,116 employees. To support the goals and growing client base, company plans to triple its go-to-market team, has quadrupled the marketing spend in 2 years, achieved a Premier Partnership with Snow?ake and is ramping up strategic cloud investments with Azure and AWS.
(Source: Company data, Moneyworks4me.com)
|
Client Mix by Category |
FY 22 |
FY 23 |
FY 22 |
FY 23 |
|
|
Number |
Number |
% of Revenue |
% of Revenue |
|
Less than Rs. 50Mn |
37 |
38 |
13% |
12% |
|
Between Rs. 50Mn - 100Mn |
11 |
12 |
20% |
18% |
|
Between Rs. 100Mn - 500Mn |
6 |
82 |
33% |
31% |
|
Above Rs. 500Mn |
2 |
2 |
34% |
39% |
|
Client Concentration |
FY 22 |
FY 23 |
|
Top 5 Clients |
55% |
57% |
|
Top 10 Clients |
70% |
71% |
|
Top 20 Clients |
86% |
88% |
(Source: Company data, Moneyworks4me.com)
About the Industry:
Data & Analytics (D&A) has emerged as one of the fastest-growing segments of digital spending. Enterprises are adopting D&A aggressively to drive business strategy owing to evolving consumer preferences and behaviour. Subsequently, D&A has been a dominant force in increasing the transparency, speed, and decision-making capabilities of organizations and it will continue to be a driving force in the coming years. Across industries and geographies, enterprises are dealing with the massive volume of data that is made available by accelerated Digital Transformation, Cloud and Internet of Things. This data is made useful and turned into actionable insights by Analytics, Machine Learning, and Artificial Intelligence (AI).
Financial Services, Consumer & Retail, and Technology verticals are at the forefront of D&A investments, driving nearly 70% of total spends. As per Zinnov Report, the Data and Analytics industry is expected to remain on a promising growth trajectory growing at an 18% CAGR between 2020 and 2024 to reach $ 333 billion.
Competitors: MuSigma, Fractal
Business Verticals:
Technology: It Involves Marketing Analytics, Supply chain Analytics, Risk Analytics, Subscription Analytics. The global D&A spending in Technology vertical is expected to reach US$ 32 billion in 2024, registering a 19% CAGR between 2020 and 2024(Zinnov Report). The Technology sector in North America is the third-largest contributor to regional data & analytics spends. Increased use of SaaS-based applications across several verticals has led software vendors to adopt subscription based models, resulting in increased consumer usage and interaction data for vendors.
Industrials: It Involves Customer Analytics, Marketing Analytics, Supply chain Analytics. Today, the Industrial Internet of Things (IIoT) and Digitalization are no longer a choice. Across industries, including Manufacturing, it has become imperative to drive things by leveraging analytics and automation to provide significant results and insights for increased effciency and accuracy. The global D&A spending by Industrials is estimated to reach US$ 16.8 billion in 2024, registering a growth of 20% CAGR between 2020 and 2024(Zinnov report).
Consumer & Retail: It involves the services of Customer Analytics & Supply chain Analytics.
Financial Services:It involves the services of Fraud Analytics, Customer Analytics, Marketing Analytics.
Business Performance:
For FY 2023, Latentview achieved a full-year growth of 32% in rupee terms. However, during Q4, the growth rate was 20% year-on-year, which was lower than the previous quarter due to market uncertainty and sluggishness. The margins for Q4 were negatively affected by investments in front-end and marketing activities, as well as lower revenue compared to the previous quarter.
The company faced margin contractions in the current fiscal year primarily due to lower revenue (250bps impact on EBITDA) and a significant exercise on ESOP in the US (50bps impact on EBITDA). The company's PAT for Q4 amounted to Rs. 342 crores, representing a decrease of 3.9% compared to Q4 of FY '22. Looking ahead, the company anticipates maintaining similar levels of EBITDA margins for the next few quarters. However, they remain hopeful that operating leverage will come into play as growth improves.
Key Financial Ratios:
(Source: Company data, Moneyworks4me.com)
Click here to checkout 10 year X-ray
Business Outlook:
Latentview currently holds Rs. 541 crores of cash and intends to utilize this capital for strategic acquisitions. The company aims to pursue either one significant acquisition or two medium-sized acquisitions. The company has identified opportunities worth $50 million in its pipeline, which can contribute to revenue growth. However, the trajectory for the full year might be influenced by uncertainties within the pipeline, potentially impacting the timing of revenue growth starting in either Q1 or Q2.
Management expresses confidence in surpassing the industry's growth rate by 5-10%. They anticipate achieving growth rates of 20-25% over the next three years, indicating a strong growth trajectory. The company expects the prevailing uncertainties to be resolved within the next couple of quarters, allowing the revenue trajectory to rebound significantly. This anticipation suggests a positive outlook for the company's future performance.
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| PARTICULARS | Mar'15 | Mar'16 | Mar'17 | Mar'18 | Mar'19 | Mar'20 | Mar'21 | Mar'22 | Mar'23 | Mar'24 |
|---|---|---|---|---|---|---|---|---|---|---|
| Sales | 118 | 174 | 238 | 235 | 289 | 310 | 306 | 408 | 539 | 641 |
| Operating Expenses ⓘ | 100 | 140 | 173 | 160 | 222 | 230 | 201 | 286 | 394 | 504 |
| Manufacturing Costs | 2 | 1 | 1 | 1 | 1 | 1 | 1 | 2 | 4 | 4 |
| Material Costs | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Employee Cost | 77 | 108 | 133 | 126 | 172 | 198 | 177 | 242 | 336 | 434 |
| Other Costs ⓘ | 21 | 32 | 39 | 34 | 49 | 31 | 23 | 42 | 53 | 67 |
| Operating Profit ⓘ | 19 | 34 | 65 | 75 | 67 | 80 | 105 | 122 | 145 | 136 |
| Operating Profit Margin (%) | 16.0% | 19.4% | 27.5% | 31.7% | 23.3% | 25.9% | 34.2% | 29.9% | 26.9% | 21.3% |
| Other Income ⓘ | 1 | 1 | 1 | 5 | 11 | 19 | 21 | 21 | 56 | 74 |
| Interest ⓘ | 1 | 1 | 1 | 1 | 0 | 3 | 3 | 3 | 3 | 3 |
| Depreciation ⓘ | 2 | 3 | 3 | 3 | 3 | 7 | 7 | 8 | 9 | 10 |
| Exceptional Items ⓘ | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 |
| Profit Before Tax ⓘ | 14 | 31 | 63 | 76 | 75 | 90 | 116 | 154 | 189 | 197 |
| Tax ⓘ | -1 | 6 | 5 | 10 | 12 | 17 | 24 | 25 | 34 | 38 |
| Profit After Tax | 15 | 25 | 57 | 67 | 63 | 73 | 91 | 130 | 155 | 159 |
| PAT Margin (%) | 12.4% | 14.3% | 24.0% | 28.3% | 21.8% | 23.5% | 29.9% | 31.8% | 28.8% | 24.8% |
| Adjusted EPS (₹) | 0.9 | 1.5 | 3.4 | 3.9 | 3.7 | 4.3 | 5.4 | 6.5 | 7.6 | 7.7 |
| Dividend Payout Ratio (%) | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0% |
| PARTICULARS | Mar'15 | Mar'16 | Mar'17 | Mar'18 | Mar'19 | Mar'20 | Mar'21 | Mar'22 | Mar'23 | Mar'24 |
|---|---|---|---|---|---|---|---|---|---|---|
Equity and Liabilities | ||||||||||
| Shareholders Fund | 49 | 75 | 131 | 200 | 265 | 346 | 436 | 1,023 | 1,202 | 1,368 |
| Share Capital ⓘ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 20 | 20 | 21 |
| Reserves ⓘ | 48 | 74 | 130 | 199 | 265 | 345 | 435 | 1,003 | 1,182 | 1,347 |
| Minority Interest | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Debt | 16 | 16 | 2 | 0 | 0 | 0 | 23 | 0 | 0 | 0 |
| Long Term Debt | 3 | 3 | 1 | 0 | 0 | 0 | 23 | 0 | 0 | 0 |
| Short Term Debt | 13 | 13 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Trade Payables | 3 | 2 | 2 | 3 | 6 | 3 | 3 | 4 | 4 | 10 |
| Others Liabilities ⓘ | 9 | 25 | 39 | 17 | 16 | 17 | 27 | 46 | 37 | 67 |
| Total Liabilities ⓘ | 77 | 118 | 174 | 220 | 288 | 366 | 489 | 1,074 | 1,244 | 1,445 |
Fixed Assets | ||||||||||
| Gross Block | 12 | 15 | 16 | 17 | 19 | 42 | 44 | 50 | 53 | 64 |
| Accumulated Depreciation | 4 | 6 | 9 | 12 | 14 | 7 | 14 | 22 | 30 | 37 |
| Net Fixed Assetsⓘ | 8 | 9 | 7 | 6 | 4 | 35 | 30 | 29 | 23 | 28 |
| CWIP ⓘ | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Investmentsⓘ | 5 | 15 | 65 | 83 | 98 | 72 | 139 | 194 | 501 | 676 |
| Inventories | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Trade Receivables | 24 | 42 | 40 | 51 | 51 | 53 | 61 | 84 | 99 | 113 |
Cash Equivalents  ⓘ
| 21 | 33 | 37 | 45 | 97 | 150 | 221 | 692 | 541 | 416 |
| Others Assetsⓘ | 15 | 18 | 25 | 35 | 38 | 56 | 37 | 75 | 80 | 213 |
| Total Assets ⓘ | 77 | 118 | 174 | 220 | 288 | 366 | 489 | 1,074 | 1,244 | 1,445 |
| PARTICULARS | Mar'15 | Mar'16 | Mar'17 | Mar'18 | Mar'19 | Mar'20 | Mar'21 | Mar'22 | Mar'23 | Mar'24 |
|---|---|---|---|---|---|---|---|---|---|---|
| Cash Flow From Operating Activity ⓘ | -9 | 22 | 70 | 23 | 59 | 63 | 90 | 87 | 97 | 115 |
| PBT ⓘ | 17 | 31 | 63 | 76 | 75 | 90 | 116 | 132 | 189 | 197 |
| Adjustment ⓘ | 4 | 8 | 5 | -1 | -2 | -4 | -6 | -4 | -32 | -56 |
| Changes in Working Capital ⓘ | -26 | -12 | 17 | -35 | 5 | -2 | -5 | -13 | -33 | 5 |
| Tax Paid ⓘ | -3 | -5 | -14 | -17 | -19 | -21 | -16 | -27 | -27 | -30 |
| Cash Flow From Investing Activity ⓘ | 0 | -12 | -51 | -15 | -47 | -34 | -45 | -439 | -285 | -4 |
| Capex | -6 | 0 | -1 | -1 | -2 | -3 | -2 | -7 | -3 | -4 |
| Net Investments | 6 | -13 | -50 | -13 | -7 | 34 | -52 | -448 | -315 | -53 |
| Others ⓘ | -1 | 2 | 0 | -1 | -39 | -65 | 8 | 16 | 33 | 53 |
| Cash Flow From Financing Activityⓘ | 11 | -2 | -14 | -2 | -1 | -5 | 17 | 449 | -4 | -1 |
| Net Proceeds from Shares ⓘ | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 478 | 7 | 5 |
| Net Proceeds from Borrowing ⓘ | 12 | -1 | -14 | -3 | -1 | 0 | 23 | 0 | 0 | 0 |
| Interest Paid ⓘ | -1 | -1 | -1 | 0 | 0 | 0 | 0 | 0 | -2 | -2 |
| Dividend Paid ⓘ | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Others ⓘ | 0 | 0 | 0 | 0 | 0 | -6 | -6 | -29 | -9 | -4 |
| Net Cash Flow ⓘ | 2 | 9 | 4 | 6 | 11 | 24 | 62 | 97 | -192 | 111 |
| PARTICULARS | Mar'15 | Mar'16 | Mar'17 | Mar'18 | Mar'19 | Mar'20 | Mar'21 | Mar'22 | Mar'23 | Mar'24 |
|---|---|---|---|---|---|---|---|---|---|---|
| Ratios | ||||||||||
| ROE (%) | 35.08 | 40.12 | 55.45 | 40.19 | 27.02 | 23.84 | 23.4 | 17.75 | 13.97 | 12.34 |
| ROCE (%) | 26.62 | 41.01 | 55.25 | 45.39 | 31.97 | 30.24 | 29.33 | 21.17 | 17.19 | 15.51 |
| Asset Turnover Ratio | 1.81 | 1.79 | 1.63 | 1.19 | 1.14 | 0.95 | 0.72 | 0.52 | 0.46 | 0.48 |
| PAT to CFO Conversion(x) | -0.6 | 0.88 | 1.23 | 0.34 | 0.94 | 0.86 | 0.99 | 0.67 | 0.63 | 0.72 |
| Working Capital Days | ||||||||||
| Receivable Days | 56 | 69 | 63 | 71 | 64 | 61 | 68 | 65 | 62 | 60 |
| Inventory Days | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Payable Days | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Latent View Analytics is among the leading pure-play data analytics services companies in India, based on its expertise of the entire value chain of data analytics from data and analytics consulting to business analytics and insights, advanced predictive analytics, data engineering and digital solutions. Across industries, data and analytics are being leveraged by enterprises to guide business strategy and optimize spending decisions amid growing financial uncertainties. It engages and provides services to blue chip companies in Technology, BFSI, CPG & Retail, Industrials and other industries. It has emerged as one of the most trusted partners to several Fortune 500 companies in recent years and has worked with over 30 Fortune 500 companies in the last three Fiscals. Some of the key clients that it works include Adobe, Uber Technology and 7-Eleven.
As an analytics provider with capabilities across business functions, it engage with several key stakeholders within its client organizations, including CFOs for finance and risk analytics, CMOs for marketing insights, CHRSs for HR analytics, CSCO for supply chain analytics, further strengthening its client relationships across multiple touchpoints. The company’s scope of work is classified into: (i) Consulting services, that involves understanding relevant business trends, challenges, and opportunities and preparing a roadmap of data and analytics initiatives that addresses them; (ii) Data engineering, that is undertaken to design, architect and implement the data foundation required to undertake analytics; (iii) Business analytics, that delivers analysis and insights for clients to take more accurate, timely and impactful decisions; and (iv) Digital solutions that it develop to automate business processes, predict trends, and generate actionable insights.
Business area of the company
The company designs and engineers result-oriented analytics solutions, which enables to make intelligent decisions. Its expertise include Digital Solution Accelerators, Big Data Capabilities, Social Media Predictive Analytics and Analytics Tools. It helps and inspires clients to transform their businesses and excel in the digital world by harnessing the power of data and analytics.
Key Awards, Accreditations and Recognition
Major events and milestones
MoneyWorks4Me rating and ranking of funds for SIP is available to subscribers only. Moneyworks4Me is not a rating and ranking agency, however it is required that users have a way of selecting funds and building a Portfolio. The method used by it are described below to enable users to understand the logic behind the rating and ranking Subscriber will find more details on this in the various content made available from time to time. In case you need more please write to besafe@moneyworks4Me.com
MoneyWorks4Me rates and ranks mutual funds based on the following data-driven system:
Funds ranking in screeners: Performance Consistency and Quality are two parameters used for ranking funds for SIP. The ranking as follows GG, GO, GR, OG, OO, OR, RG, RO and RR.
With the same color-coded funds, the one with the higher Average 3-year rolling returns (over 5 to 10 years), the number that appears in the Performance tag, ranks higher.
Here is the summary:
The third tag Upside Potential is not relevant for SIP. It is relevant for lumpsum investments in Mutual Funds.
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