Infosys (INFY) Payables (2009 - 2026)
Infosys (INFY) recorded Payables of $463.39 million in the quarter ended Jun 30, 2026, up 14.4% from $405.11 million a year earlier.
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Analysis
Infosys (INFY) Payables (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Infosys reported Payables of $518.95 million, up 7.9% from the prior year.
- Annual Payables has increased for three straight years, with a five-year compound annual growth rate of 7.4% (years ended Mar 2021 to Mar 2026).
- Across earlier years, Payables came in at $480.86 million in the year ended Mar 31, 2025 (+0.9%), $476.36 million in the year ended Mar 31, 2024 (+1.3%), $470.17 million in the year ended Mar 31, 2023 (-14.5%) and $549.78 million in the year ended Mar 31, 2022 (+51.6%).
- Quarterly Payables has ranged from -$32.03 billion in the quarter ended Mar 31, 2026 to $583.17 million in the quarter ended Dec 31, 2022 over the past five years.
- On a year-over-year basis, Payables rose in five of the last seven quarters, with growth averaging 25.6%.
- Peak year-over-year performance for Payables in the last five years was growth of 130.4% in the quarter ended Jun 30, 2025, against a decline of 47.8% in the quarter ended Jun 30, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -$32.03 billion (quarter ended Mar 31, 2026), $541.93 million (quarter ended Dec 31, 2025) and $440.13 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 463.39 Mn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 390.00 Mn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 21.18 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 5.12 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 809.53 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 27.11 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 6.05 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 11.80 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 41.55 Mn |
| 10 | Science Applications International | 5.50 Bn | 5.04 Bn | 239.00 Mn | 597.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 463.39 Mn |
| Mar 31, 2026 | -32.03 Bn |
| Dec 31, 2025 | 541.93 Mn |
| Sep 30, 2025 | 440.13 Mn |
| Jun 30, 2025 | 405.11 Mn |
| Mar 31, 2025 | 480.86 Mn |
| Dec 31, 2024 | 435.26 Mn |
| Sep 30, 2024 | 458.59 Mn |
| Jun 30, 2024 | 175.86 Mn |
| Mar 31, 2024 | 476.36 Mn |
| Dec 31, 2023 | 459.38 Mn |
| Sep 30, 2023 | 387.47 Mn |
| Jun 30, 2023 | 267.90 Mn |
| Mar 31, 2023 | 470.17 Mn |
| Dec 31, 2022 | 583.17 Mn |
| Sep 30, 2022 | 522.03 Mn |
| Jun 30, 2022 | 513.16 Mn |
| Mar 31, 2022 | 549.78 Mn |
| Dec 31, 2021 | 506.00 Mn |
| Sep 30, 2021 | 428.00 Mn |
API Access
Infosys Payables API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=payables&ticker=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "ticker": "INFY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=payables&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();