ExlService Holdings (EXLS) Long-Term Debt Repayments (2010 - 2026)
ExlService Holdings (EXLS) reported Long-Term Debt Repayments of $575.98 million for Q3 2026, compared with $30.37 million a year earlier.
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Analysis
ExlService Holdings (EXLS) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, ExlService Holdings' Long-Term Debt Repayments came in at $785.16 million, up 374.5% year-over-year; for FY2025, it was $225.51 million, up 11.9% from FY2024.
- Long-Term Debt Repayments has increased for three consecutive years, with a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $201.58 million in FY2024 (+54.9%), $130.17 million in FY2023 (+188.4%), $45.14 million in FY2022 (-86.3%) and $329.23 million in FY2021 (+171.8%).
- The Q3 2026 figure ranks as the highest quarterly Long-Term Debt Repayments in data going back to Q3 2010.
- Year over year, Long-Term Debt Repayments gained in four of the last seven quarters, with growth averaging 90.6%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q3 2024 (growth of 896.9%); the low point was Q1 2022 (a decline of 99.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $36.37 million (Q2 2026), $56.4 million (Q1 2026) and $116.4 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.94 Bn | -78.32 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 29.76 Bn | 23.73 Bn | 1.91 Bn | - |
| 3 | Wipro | 22.37 Bn | 17.51 Bn | 745.00 Mn | -626.07 Mn |
| 4 | Cdw | 20.43 Bn | 17.33 Bn | 1.39 Bn | - |
| 5 | Cgi | 18.44 Bn | 16.24 Bn | - | - |
| 6 | Td Synnex | 18.14 Bn | 12.29 Bn | 1.43 Bn | 700.23 Mn |
| 7 | Arrow Electronics | 9.79 Bn | 8.74 Bn | 1.13 Bn | - |
| 8 | EPAM Systems | 8.12 Bn | 4.04 Bn | 445.94 Mn | - |
| 9 | Avnet | 6.94 Bn | 6.12 Bn | 865.03 Mn | 140.50 Mn |
| 10 | ExlService Holdings | 6.56 Bn | 5.36 Bn | 241.14 Mn | 575.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 575.98 Mn |
| Jun 30, 2026 | 36.37 Mn |
| Mar 31, 2026 | 56.40 Mn |
| Dec 31, 2025 | 116.40 Mn |
| Sep 30, 2025 | 30.37 Mn |
| Jun 30, 2025 | 47.38 Mn |
| Mar 31, 2025 | 31.37 Mn |
| Dec 31, 2024 | 56.35 Mn |
| Sep 30, 2024 | 100.09 Mn |
| Jun 30, 2024 | 10.07 Mn |
| Mar 31, 2024 | 35.06 Mn |
| Dec 31, 2023 | 20.05 Mn |
| Sep 30, 2023 | 10.04 Mn |
| Jun 30, 2023 | 37,000.00 |
| Mar 31, 2023 | 100.04 Mn |
| Dec 31, 2022 | 20.03 Mn |
| Sep 30, 2022 | 15.03 Mn |
| Jun 30, 2022 | 10.04 Mn |
| Mar 31, 2022 | 39,000.00 |
| Dec 31, 2021 | 75,000.00 |
API Access
ExlService Holdings Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=EXLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();