Infosys (INFY) Receivables (2009 - 2026)
Infosys (INFY) reported Receivables of $5.33 billion for the quarter ended Jun 30, 2026, down 1.0% from $5.38 billion a year earlier and down 4.0% from the prior quarter.
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Analysis
Infosys (INFY) Receivables (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Infosys posted Receivables of $5.55 billion, up 9.2% from the prior year.
- Receivables has a five-year compound annual growth rate of 8.6% (years ended Mar 2021 to Mar 2026).
- By year, Receivables came in at $5.08 billion in the year ended Mar 31, 2025 (-1.8%), $5.17 billion in the year ended Mar 31, 2024 (+4.5%), $4.95 billion in the year ended Mar 31, 2023 (+8.7%) and $4.56 billion in the year ended Mar 31, 2022 (+23.9%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Receivables since the quarter ended Mar 31, 2025.
- Year over year, Receivables gained in six of the last eight quarters, with growth averaging 2.9%.
- The high point for year-over-year Receivables in five years was the quarter ended Mar 31, 2022 (growth of 23.9%); the low point was the quarter ended Mar 31, 2025 (a decline of 1.8%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $5.55 billion (quarter ended Mar 31, 2026), $5.55 billion (quarter ended Dec 31, 2025) and $5.54 billion (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 5.33 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 4.78 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 13.00 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 10.28 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 1.14 Bn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 28.01 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 6.88 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 10.68 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 1.27 Bn |
| 10 | Science Applications International | 5.50 Bn | 5.04 Bn | 239.00 Mn | 996.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.33 Bn |
| Mar 31, 2026 | 5.55 Bn |
| Dec 31, 2025 | 5.55 Bn |
| Sep 30, 2025 | 5.54 Bn |
| Jun 30, 2025 | 5.38 Bn |
| Mar 31, 2025 | 5.08 Bn |
| Dec 31, 2024 | 5.29 Bn |
| Sep 30, 2024 | 5.38 Bn |
| Jun 30, 2024 | 5.22 Bn |
| Mar 31, 2024 | 5.17 Bn |
| Dec 31, 2023 | 5.27 Bn |
| Sep 30, 2023 | 5.12 Bn |
| Jun 30, 2023 | 4.97 Bn |
| Mar 31, 2023 | 4.95 Bn |
| Dec 31, 2022 | 4.97 Bn |
| Sep 30, 2022 | 4.85 Bn |
| Jun 30, 2022 | 4.74 Bn |
| Mar 31, 2022 | 4.56 Bn |
| Dec 31, 2021 | 4.36 Bn |
| Sep 30, 2021 | -26.92 Bn |
API Access
Infosys Receivables 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=receivables&ticker=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();