Infosys (INFY) Other Accumulated Expenses (2009 - 2026)
Infosys (INFY) posted Other Accumulated Expenses of $2.2 billion for Q2 2026, down 3.68% on a QoQ basis from $2.3 billion in Q1 2026, and up 4.47% year-over-year from $2.1 billion in Q2 2025.
Infosys (INFY) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
Infosys has reported Other Accumulated Expenses for 18 years, with the latest figure at $2.2 billion in Q2 2026.
- On a quarterly basis, Other Accumulated Expenses rose 4.47% year-over-year to $2.2 billion in Q2 2026; TTM through Jun 2026 was $2.2 billion, a 4.47% increase from a year earlier, with the FY2026 full-year figure at $2.2 billion, up 4.17% from the prior year.
- Other Accumulated Expenses was $2.2 billion for Q2 2026 at Infosys, down from $2.3 billion in the prior quarter.
- The five-year high for Other Accumulated Expenses was $3.5 billion in Q2 2024, with the low at $2.0 billion in Q4 2023.
- Average Other Accumulated Expenses over 5 years is $2.3 billion, with a median of $2.2 billion recorded in 2025.
- The sharpest annual moves came in 2022 and 2025: Other Accumulated Expenses soared 39.15% in 2022, then sank 38.39% in 2025.
- Over 5 years, Other Accumulated Expenses stood at $2.5 billion in 2022, then retreated by 20.97% to $2.0 billion in 2023, then grew by 1.85% to $2.0 billion in 2024, then increased by 8.78% to $2.2 billion in 2025, then gained by 1.26% to $2.2 billion in 2026.
- The last three Other Accumulated Expenses figures came in at $2.2 billion (Q2 2026), $2.3 billion (Q1 2026), and $2.2 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 44.17 Bn | 44.22 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 26.84 Bn | 25.79 Bn | 1.83 Bn |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 Mn |
| 9 | Formula Systems (1985) | 1.83 Bn | 1.41 Bn | 158.43 Mn |
| 10 | DXC Technology | 1.74 Bn | 9.39 Mn | 611.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.25 Bn |
| Mar 31, 2026 | 2.33 Bn |
| Dec 31, 2025 | 2.22 Bn |
| Sep 30, 2025 | 2.22 Bn |
| Jun 30, 2025 | 2.15 Bn |
| Mar 31, 2025 | 2.13 Bn |
| Dec 31, 2024 | 2.04 Bn |
| Sep 30, 2024 | 2.20 Bn |
| Jun 30, 2024 | 3.49 Bn |
| Mar 31, 2024 | 2.11 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 | 2.19 Bn |
| Dec 31, 2021 | 1.96 Bn |
| Sep 30, 2021 | 1.85 Bn |
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_KEY
import 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();