Infosys (INFY) Depreciation & Amortization (CF) (2009 - 2026)
Infosys (INFY) recorded Depreciation & Amortization (CF) of $13.59 billion in fiscal Q2 2027 (quarter ended Sep 30, 2026), up 15.0% from $11.82 billion a year earlier and up 9.1% from the prior quarter.
Infosys (INFY) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
On a TTM basis, Infosys' Depreciation & Amortization (CF) came in at $51.84 billion as of Sep 30, 2026; for FY2026 (ended Mar 31, 2026), it was $552 million, down 3.0% from FY2025.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of 4.6% (FY2021 to FY2026).
- Across earlier fiscal years, Depreciation & Amortization (CF) came in at $569 million in FY2025 (+0.7%), $565 million in FY2024 (+7.8%), $524 million in FY2023 (+12.4%) and $466 million in FY2022 (+5.7%).
- Quarterly Depreciation & Amortization (CF) has ranged from -$34.55 billion in fiscal Q4 2025 to $14.24 billion in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Depreciation & Amortization (CF) rose in three of the last five quarters, with growth averaging 2.3%.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 26.0% in fiscal Q4 2023, against a decline of 98.5% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $12.46 billion (Q1 2027), $14.24 billion (Q4 2026) and $11.55 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn | 13.59 Bn |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn | 149.00 Mn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn | 91.72 Mn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn | 75.10 Mn |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - | 110.88 Mn |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn | 106.24 Mn |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn | 35.60 Mn |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn | 32.62 Mn |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn | 18.66 Mn |
| 10 | Avnet | 6.53 Bn | 5.71 Bn | 865.03 Mn | 22.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.59 Bn |
| Jun 30, 2026 | 12.46 Bn |
| Mar 31, 2026 | 14.24 Bn |
| Dec 31, 2025 | 11.55 Bn |
| Sep 30, 2025 | 11.82 Bn |
| Jun 30, 2025 | 133.00 Mn |
| Mar 31, 2025 | 12.99 Bn |
| Dec 31, 2024 | 12.03 Bn |
| Sep 30, 2024 | 22.96 Bn |
| Jun 30, 2024 | 138.00 Mn |
| Mar 31, 2024 | -34.59 Bn |
| Dec 31, 2023 | 11.76 Bn |
| Sep 30, 2023 | 11.66 Bn |
| Jun 30, 2023 | 11.73 Bn |
| Mar 31, 2023 | -30.52 Bn |
| Dec 31, 2022 | 11.25 Bn |
| Sep 30, 2022 | 19.67 Bn |
| Jun 30, 2022 | 123.00 Mn |
| Mar 31, 2022 | -25.39 Bn |
| Dec 31, 2021 | 8.99 Bn |
Infosys Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();