Infosys (INFY) Receivables - Net (2009 - 2026)
Infosys' Receivables - Net came in at $3.57 billion for the quarter ended Jun 30, 2026, down 5.6% from $3.78 billion a year earlier and down 7.4% from the prior quarter.
Infosys (INFY) Receivables - Net (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Infosys' Receivables - Net was $3.72 billion, up 1.9% from the prior year.
- Receivables - Net has increased in each of the last nine years, with a five-year compound annual growth rate of 6.4% (years ended Mar 2021 to Mar 2026).
- Going back by year, Receivables - Net was $3.65 billion in the year ended Mar 31, 2025 (+0.7%), $3.62 billion in the year ended Mar 31, 2024 (+17.0%), $3.09 billion in the year ended Mar 31, 2023 (+2.5%) and $3.02 billion in the year ended Mar 31, 2022 (+10.8%).
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Receivables - Net since the quarter ended Sep 30, 2023.
- Year-over-year, Receivables - Net increased in six of the last eight quarters, with growth averaging 3.0%.
- The fastest year-over-year change in Receivables - Net over five years came in the quarter ended Mar 31, 2024 (growth of 17.6%), and the weakest in the quarter ended Jun 30, 2026 (a decline of 5.6%).
- Business Quant data shows INFY's Receivables - Net at $3.85 billion (quarter ended Mar 31, 2026), $4.02 billion (quarter ended Dec 31, 2025) and $3.83 billion (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn |
| 10 | Ingram Micro Holding | 6.25 Bn | 1.85 Bn | 958.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.57 Bn |
| Mar 31, 2026 | 3.72 Bn |
| Dec 31, 2025 | 4.02 Bn |
| Sep 30, 2025 | 3.83 Bn |
| Jun 30, 2025 | 3.78 Bn |
| Mar 31, 2025 | 3.65 Bn |
| Dec 31, 2024 | 3.90 Bn |
| Sep 30, 2024 | 3.82 Bn |
| Jun 30, 2024 | 3.71 Bn |
| Mar 31, 2024 | 3.62 Bn |
| Dec 31, 2023 | 3.68 Bn |
| Sep 30, 2023 | 3.40 Bn |
| Jun 30, 2023 | 3.19 Bn |
| Mar 31, 2023 | 3.09 Bn |
| Dec 31, 2022 | 3.34 Bn |
| Sep 30, 2022 | 3.12 Bn |
| Jun 30, 2022 | 2.92 Bn |
| Mar 31, 2022 | 3.00 Bn |
| Dec 31, 2021 | 3.04 Bn |
| Sep 30, 2021 | 2.71 Bn |
Infosys Receivables - Net 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-net&ticker=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();