ExlService Holdings (EXLS) Depreciation and Depletion (2013 - 2026)
ExlService Holdings' Depreciation and Depletion was $10.78 million in Q1 2026, up 4.5% from $10.31 million a year earlier but down 17.3% from the prior quarter.
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Analysis
ExlService Holdings (EXLS) Depreciation and Depletion (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, ExlService Holdings' Depreciation and Depletion was $46.41 million through Mar 31, 2026, up 8.9% year-over-year; for FY2025, it came in at $45.94 million, up 10.5% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $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 and Depletion has moved between $8.43 million (Q3 2023) and $13.04 million (Q4 2025) over five years.
- Compared with a year earlier, Depreciation and Depletion has increased for eight straight quarters, with growth averaging 14.1% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q4 2024 (growth of 33.0%); the worst was Q3 2023 (a decline of 16.9%).
- Per Business Quant data, EXLS's Depreciation and Depletion in the three quarters before Q1 2026 was $13.04 million (Q4 2025), $11.82 million (Q3 2025) and $10.78 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.76 Bn | 38.26 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 32.87 Bn | 26.03 Bn | 1.83 Bn | - |
| 3 | Wipro | 21.84 Bn | 16.99 Bn | 745.00 Mn | - |
| 4 | Cdw | 20.83 Bn | 18.82 Bn | 1.32 Bn | - |
| 5 | Td Synnex | 19.50 Bn | 13.66 Bn | 1.43 Bn | - |
| 6 | Cgi | 18.20 Bn | 15.99 Bn | - | - |
| 7 | Arrow Electronics | 10.70 Bn | 9.65 Bn | 1.13 Bn | - |
| 8 | Avnet | 7.26 Bn | 6.44 Bn | 865.03 Mn | - |
| 9 | EPAM Systems | 6.96 Bn | 2.60 Bn | 429.57 Mn | - |
| 10 | ExlService Holdings | 6.42 Bn | 5.16 Bn | 225.96 Mn | - |
Historic Data
Download Data
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 |
API Access
ExlService Holdings Depreciation and Depletion 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-depletion&ticker=EXLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();