ExlService Holdings (EXLS) Long-Term Debt Repayments (2010 - 2026)
ExlService Holdings (EXLS) reported Long-Term Debt Repayments of $36.25 million for Q2 2026, down 23.3% from $47.25 million a year earlier and down 35.6% from the prior quarter.
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Analysis
ExlService Holdings (EXLS) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, ExlService Holdings' Long-Term Debt Repayments came in at $239 million, up 1.8% year-over-year; for FY2025, it was $225 million, up 11.8% 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 $201.25 million in FY2024 (+54.8%), $130 million in FY2023 (+188.9%), $45 million in FY2022 (-86.3%) and $329.03 million in FY2021 (+172.2%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $31,000 in Q4 2021 and a high of $230 million in Q3 2021.
- Year over year, Long-Term Debt Repayments gained in five of the last eight quarters, with growth averaging 192.1%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q3 2024 (growth of 900.0%); the low point was Q1 2022 (a decline of 99.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $56.25 million (Q1 2026), $116.25 million (Q4 2025) and $30.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | - |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | -1.44 Bn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | 700.23 Mn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | - |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | - |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | - |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | 140.50 Mn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | 180.03 Mn |
| 10 | ExlService Holdings | 6.07 Bn | 4.81 Bn | 225.96 Mn | 36.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 230.05 Mn |
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();