Infosys (INFY) Depreciation & Amortization - Total (2017)
Infosys' Depreciation & Amortization - Total was $12.46 billion in the quarter ended Jun 30, 2026, up 9.3% from $11.4 billion a year earlier but down 12.5% from the prior quarter.
Infosys (INFY) Depreciation & Amortization - Total (2017) Analysis & Trends
On a trailing twelve-month basis, Infosys' Depreciation & Amortization - Total was $50.07 billion through Jun 30, 2026, up 22.3% year-over-year; for the year ended Mar 31, 2026, it came in at $49.02 billion, up 1.9% from the prior year.
- In earlier years, Depreciation & Amortization - Total was $48.12 billion in the year ended Mar 31, 2025.
- Quarterly Depreciation & Amortization - Total has moved between $11.4 billion (the quarter ended Jun 30, 2025) and $14.24 billion (the quarter ended Mar 31, 2026) over five years.
- Per Business Quant data, INFY's Depreciation & Amortization - Total in the three quarters before the quarter ended Jun 30, 2026 was $14.24 billion (quarter ended Mar 31, 2026), $11.55 billion (quarter ended Dec 31, 2025) and $11.82 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 54.39 Bn | 40.89 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 34.33 Bn | 27.49 Bn | 1.83 Bn | - |
| 3 | Wipro | 22.89 Bn | 18.03 Bn | 745.00 Mn | - |
| 4 | Cdw | 21.00 Bn | 18.98 Bn | 1.32 Bn | - |
| 5 | Td Synnex | 19.58 Bn | 13.74 Bn | 1.43 Bn | - |
| 6 | Cgi | 18.28 Bn | 16.07 Bn | - | - |
| 7 | Arrow Electronics | 10.72 Bn | 9.67 Bn | 1.13 Bn | - |
| 8 | Avnet | 7.27 Bn | 6.45 Bn | 865.03 Mn | - |
| 9 | EPAM Systems | 7.20 Bn | 2.84 Bn | 429.57 Mn | - |
| 10 | ExlService Holdings | 6.55 Bn | 5.29 Bn | 225.96 Mn | - |
Infosys Depreciation & Amortization - Total 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-total&ticker=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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-total&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();