Network People Services Technologies Limited
Network People Services Technologies Limited develops payments infrastructure for banks, payment aggregators, and merchants in India. The company offers UPI Switch that connects with National Payments Corporation of India (NPCI) infrastructure, third-party systems, and member banks to enable instant UPI transactions across P2P and P2M modes; mobile banking and digital wallet solutions; CLOU, an instant credit Access with the convenience of UPI; Immediate Payment Service; Banking SuperApp for digital banking and payment services; Bill Direct, an AI-based billing platform; PayJoy, an API-based credit enabling solution; UPI Circle that offers instant credit embedded in UPI app; UPI Lite Auto Top-up; and contextual payments with UPI. It also provides EvoK UPI Plugin, a plug-and-play solution that creates collaborative payment with partner merchants; TimePay Evok, an API based payment platform; Qynx, an offline payments as a service; TimePay Cash, which enables customers to withdraw cash; risk intelligence decisioning platform for fraud detection and management in real-time payments; and Merchant Bizz for digital transactions. In addition, the company offers business monitoring solution; and anti-money laundering, a web-based platform that detects anti-money laundering and financial fraud. Network People Services Technologies Limited was incorporated in 2013 and is based in Thane, India.
Valuation
Profitability
Returns
Solvency
AI Summary
Indian StockRule-based from financial data. Not advice.
Historically, Jun has averaged the highest return (+27.8%); Mar the lowest (-17.7%).
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | -13.3%Negative MonthJan 2026: -13.34% | -3.9%Negative MonthFeb 2026: -3.90% | -17.7%Negative MonthMar 2026: -17.72% | +25.4%Positive MonthApr 2026: +25.42% | -15.2%Negative MonthMay 2026: -15.22% | +58.0%Positive MonthJun 2026: +58.05% | -4.1%*Negative MonthJul 2026: -4.06% | β | β | β | β | β |
| 2025 | β | β | β | β | -8.1%Negative MonthMay 2025: -8.13% | -2.4%Negative MonthJun 2025: -2.38% | +7.4%Positive MonthJul 2025: +7.41% | -4.2%Negative MonthAug 2025: -4.19% | -9.1%Negative MonthSep 2025: -9.10% | -4.1%Negative MonthOct 2025: -4.14% | -10.8%Negative MonthNov 2025: -10.76% | -15.6%Negative MonthDec 2025: -15.63% |
| AvgΒ±SD |
Each cell is the percentage change in closing price from the end of the prior month to the end of this month. The bottom row shows the average return for that calendar month across the selected years, plus or minus one standard deviation β the range that historically contained roughly two-thirds of outcomes. Past monthly patterns are not a forecast of future returns.
This aggregates every month by calendar position β all Januaries together, all Februaries together, and so on β to show whether a given month has leaned positive or negative historically. βSimpleβ counts each month as +1 or β1. βWeightedβ gives larger moves more influence: +2 above +10%, β2 below β10%. With only 2 years of history for this asset, each monthβs score reflects a small number of observations β read it as a historical tendency, not a reliable seasonal pattern.
This tracks a running tally across the assetβs full price history: each month adds or subtracts based on whether it was positive or negative. A rising line means more positive months than negative so far; a flattening or falling line means recent months have leaned negative. This measures historical month-to-month consistency, not expected future performance.
Year-to-date return is calculated by dividing each dayβs closing price by the price on January 1st of that year (or the assetβs first available price if it began trading mid-year). The custom average line shows the mean YTD return at each calendar day across the selected years. The standard deviation band shows the range within which returns have historically fallen β at 1 SD, roughly two-thirds of years; at 2 SD, roughly 95%. Past year-to-date patterns do not predict future returns. The average and standard deviation band are computed from the year set chosen in βAverage fromβ, which is independent of which year lines are displayed. The current in-progress year is excluded from these calculations, since a partial year is not comparable to complete ones. Election-cycle groupings follow the US presidential calendar and are offered only for US and crypto assets.
Historical Performance
Revenue, profitability, and cash flow trends (βΉ Crores)
Revenue (10Y)
Operating Income (10Y)
Net Profit (10Y)
Operating Margin % (10Y)
Dividend Payout % (10Y)
Free Cash Flow (10Y)
Growth Summary
Latest fiscal year: Mar 2025
Historical Growth
Year-by-year revenue, profitability, and cash flow (βΉ Crores, last 10 years)
| Year | Revenue | Op. Income | Net Profit | CFO | FCF | ROE | Rev Growth 1Y | NP Growth 1Y |
|---|---|---|---|---|---|---|---|---|
| Mar 2025 | βΉ173.00 Cr | β | βΉ45.00 Cr | β | β | 43.7% | 35.2% | 66.7% |
| Mar 2024 | βΉ128.00 Cr | β | βΉ27.00 Cr | β | β | 47.4% | 212.2% | 285.7% |
| Mar 2023 | βΉ41.00 Cr | β | βΉ7.00 Cr | β | β | 25.0% | 115.8% | 600.0% |
| Mar 2022 | βΉ19.00 Cr | β | βΉ1.00 Cr | β | β | 4.5% | 26.7% | 0.0% |
| Mar 2021 | βΉ15.00 Cr | β | βΉ1.00 Cr | β | β | 16.7% | 0.0% | 0.0% |
| Mar 2020 | βΉ15.00 Cr | β | βΉ1.00 Cr | β | β | 16.7% | -16.7% | 0.0% |
| Mar 2019 | βΉ18.00 Cr | β | βΉ1.00 Cr | β | β | 20.0% | 5.9% | 0.0% |
| Mar 2018 | βΉ17.00 Cr | β | βΉ1.00 Cr | β | β | 33.3% | β | β |
Financial Statements
Income statement, balance sheet, and cash flow (βΉ Crores, as reported)
Consolidated Figures in USD Millions.
| Unnamed: 0 | Mar 2018 | Mar 2019 | Mar 2020 | Mar 2021 | Mar 2022 | Mar 2023 | Mar 2024 | Mar 2025 | TTM |
|---|---|---|---|---|---|---|---|---|---|
| Revenue / Net Sales | 17 | 18 | 15 | 15 | 19 | 41 | 128 | 173 | 128 |
| Total Expenses | 15 | 15 | 13 | 12 | 16 | 29 | 85 | 113 | 89 |
| EBIT / Operating Profit | 2 | 3 | 2 | 3 | 3 | 12 | 43 | 60 | 39 |
| OPM % | 14% | 17% | 15% | 19% | 18% | 30% | 34% | 35% | 31% |
| Other Income | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 7 |
| Finance Costs | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| Depreciation & Amortisation | 1 | 1 | 1 | 2 | 2 | 4 | 10 | 7 | 7 |
| Profit Before Tax | 2 | 2 | 1 | 1 | 2 | 9 | 36 | 60 | 38 |
| Tax % | 28% | 28% | 27% | 24% | 24% | 25% | 24% | 25% | - |
| Net Profit / PAT | 1 | 1 | 1 | 1 | 1 | 7 | 27 | 45 | 28 |
| EPS (βΉ) | 4.13 | 4.43 | 3.43 | 0.79 | 0.77 | 3.36 | 13.87 | 23.31 | 14.21 |
| Dividend Payout % | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0% | - |
Peer Comparison
Technology sector peers, ranked by market cap
| Company | Market Cap | Revenue | P/E | P/B | EV/EBITDA | Rev G 1Y |
|---|---|---|---|---|---|---|
| Network People Services Technologies Limitedthis co. | βΉ2.76 K Cr | βΉ173.00 Cr | 97.80 | 6.62 | 59.83 | 35.2% |
| Bharti Airtel Ltd. | βΉ12.19 L Cr | βΉ1.09 L Cr | 50.40 | 8.31 | 27.19 | 15.8% |
| Tata Consultancy Services Ltd. | βΉ11.84 L Cr | βΉ2.15 L Cr | 24.20 | 13.91 | 18.91 | 6.2% |
| Infosys Ltd | βΉ6.48 L Cr | βΉ1.37 L Cr | 24.20 | 7.17 | 16.31 | 5.9% |
| HCL Technologies Ltd | βΉ4.52 L Cr | βΉ51.10 K Cr | 36.80 | 14.48 | β | 6.2% |
| Bharat Electronics Ltd. | βΉ3.02 L Cr | βΉ23.66 K Cr | 53.30 | 14.23 | 51.32 | 17.3% |
| Wipro Ltd. | βΉ2.77 L Cr | βΉ67.29 K Cr | 23.00 | 4.29 | 18.85 | 0.8% |
| Industry Average | β | βΉ10.05 K Cr | 69.99 | 8.58 | 66.75 | 22.0% |
