Infosys (INFY) Other Accumulated Expenses (2009 - 2026)
Infosys (INFY) recorded Other Accumulated Expenses of $2.25 billion in the quarter ended Jun 30, 2026, up 4.5% from $2.15 billion a year earlier but down 3.7% from the prior quarter.
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Analysis
Infosys (INFY) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
Starting with the quarter ended Mar 31, 2009, Infosys' Other Accumulated Expenses history includes 65 quarters.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of 7.4% (years ended Mar 2021 to Mar 2026).
- Across earlier years, Other Accumulated Expenses came in at $2.16 billion in the year ended Mar 31, 2025 (+2.8%), $2.1 billion in the year ended Mar 31, 2024 (-12.7%), $2.4 billion in the year ended Mar 31, 2023 (+10.7%) and $2.17 billion in the year ended Mar 31, 2022 (+38.0%).
- Quarterly Other Accumulated Expenses has ranged from $20.38 million in the quarter ended Dec 31, 2024 to $3.49 billion in the quarter ended Jun 30, 2024 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses rose in five of the last seven quarters, with an average decline of 17.3%.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 38.7% in the quarter ended Mar 31, 2022, against a decline of 99.0% in the quarter ended Dec 31, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.33 billion (quarter ended Mar 31, 2026), $2.22 billion (quarter ended Dec 31, 2025) and $2.22 billion (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 51.47 Bn | 37.97 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 33.02 Bn | 26.18 Bn | 1.83 Bn |
| 3 | Wipro | 22.31 Bn | 17.46 Bn | 745.00 Mn |
| 4 | Cdw | 20.85 Bn | 18.84 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.70 Bn | 13.86 Bn | 1.43 Bn |
| 6 | Cgi | 18.25 Bn | 16.05 Bn | - |
| 7 | Arrow Electronics | 10.78 Bn | 9.73 Bn | 1.13 Bn |
| 8 | Avnet | 7.31 Bn | 6.49 Bn | 865.03 Mn |
| 9 | EPAM Systems | 7.07 Bn | 2.71 Bn | 429.57 Mn |
| 10 | ExlService Holdings | 6.46 Bn | 5.21 Bn | 225.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.25 Bn |
| Mar 31, 2026 | 2.25 Bn |
| Dec 31, 2025 | 2.22 Bn |
| Sep 30, 2025 | 2.22 Bn |
| Jun 30, 2025 | 2.15 Bn |
| Mar 31, 2025 | 2.16 Bn |
| Dec 31, 2024 | 2.04 Bn |
| Sep 30, 2024 | 2.20 Bn |
| Jun 30, 2024 | 3.49 Bn |
| Mar 31, 2024 | 2.10 Bn |
| Dec 31, 2023 | 2.00 Bn |
| Sep 30, 2023 | 2.19 Bn |
| Jun 30, 2023 | 3.01 Bn |
| Mar 31, 2023 | 2.40 Bn |
| Dec 31, 2022 | 2.53 Bn |
| Sep 30, 2022 | 2.26 Bn |
| Jun 30, 2022 | 2.33 Bn |
| Mar 31, 2022 | 2.17 Bn |
| Dec 31, 2021 | 1.96 Bn |
| Sep 30, 2021 | 1.85 Bn |
API Access
Infosys Other Accumulated Expenses 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=other-accumulated-expenses&ticker=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();