ExlService Holdings (EXLS) Depreciation & Amortization - Total (2013 - 2026)
ExlService Holdings (EXLS) recorded Depreciation & Amortization - Total of $10.78 million in Q1 2026, up 4.5% from $10.31 million a year earlier but down 17.3% from the prior quarter.
ExlService Holdings (EXLS) Depreciation & Amortization - Total (2013 - 2026) Analysis & Trends
On a TTM basis, ExlService Holdings' Depreciation & Amortization - Total came in at $46.41 million as of Mar 31, 2026, up 8.9% year-over-year; for FY2025, it came in at $45.94 million, up 10.5% from FY2024.
- Annual Depreciation & Amortization - Total has a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization - Total came in at $41.59 million in FY2024 (+16.1%), $35.81 million in FY2023 (-8.6%), $39.17 million in FY2022 (+7.8%) and $36.35 million in FY2021 (+0.8%).
- Quarterly Depreciation & Amortization - Total has ranged from $8.43 million in Q3 2023 to $13.04 million in Q4 2025 over the past five years.
- On a year-over-year basis, Depreciation & Amortization - Total has increased for eight consecutive quarters, with growth averaging 14.1% over the last eight quarters.
- Peak year-over-year performance for Depreciation & Amortization - Total in the last five years was growth of 33.0% in Q4 2024, against a decline of 16.9% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $13.04 million (Q4 2025), $11.82 million (Q3 2025) and $10.78 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 12.46 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | - |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | - |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | - |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | - |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | - |
| 10 | ExlService Holdings | 5.22 Bn | 3.96 Bn | 225.96 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 10.78 Mn |
| Dec 31, 2025 | 13.04 Mn |
| Sep 30, 2025 | 11.82 Mn |
| Jun 30, 2025 | 10.78 Mn |
| Mar 31, 2025 | 10.31 Mn |
| Dec 31, 2024 | 12.14 Mn |
| Sep 30, 2024 | 10.35 Mn |
| Jun 30, 2024 | 9.83 Mn |
| Mar 31, 2024 | 9.27 Mn |
| Dec 31, 2023 | 9.13 Mn |
| Sep 30, 2023 | 8.43 Mn |
| Jun 30, 2023 | 8.92 Mn |
| Mar 31, 2023 | 9.34 Mn |
| Dec 31, 2022 | 9.99 Mn |
| Sep 30, 2022 | 10.14 Mn |
| Jun 30, 2022 | 9.93 Mn |
| Mar 31, 2022 | 9.12 Mn |
| Dec 31, 2021 | 9.42 Mn |
| Sep 30, 2021 | 9.28 Mn |
| Jun 30, 2021 | 8.91 Mn |
ExlService Holdings 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=EXLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "ticker": "EXLS", "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=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();