ExlService Holdings (EXLS) Total Liabilities (2010 - 2026)
ExlService Holdings' Total Liabilities came in at $1.15 billion for Q3 2026, up 46.6% from $781.24 million a year earlier and up 29.9% from the prior quarter.
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Analysis
ExlService Holdings (EXLS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, ExlService Holdings' Total Liabilities was $789.53 million, up 14.7% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $688.54 million in FY2024 (+24.6%), $552.54 million in FY2023 (-6.0%), $587.94 million in FY2022 (-0.3%) and $589.75 million in FY2021 (+11.5%).
- The Q3 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year-over-year, Total Liabilities has increased for five consecutive quarters, with growth averaging 21.5% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2026 (growth of 46.6%), and the weakest in Q2 2023 (a decline of 12.7%).
- Business Quant data shows EXLS's Total Liabilities at $881.65 million (Q2 2026), $897.58 million (Q1 2026) and $789.53 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn | 6.67 Bn |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn | 6.60 Bn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn | 5.88 Bn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn | 16.95 Bn |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - | - |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn | 32.54 Bn |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn | 31.30 Bn |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn | 1.09 Bn |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn | 1.15 Bn |
| 10 | Avnet | 6.53 Bn | 5.71 Bn | 865.03 Mn | 10.40 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.15 Bn |
| Jun 30, 2026 | 881.65 Mn |
| Mar 31, 2026 | 897.58 Mn |
| Dec 31, 2025 | 789.53 Mn |
| Sep 30, 2025 | 781.24 Mn |
| Jun 30, 2025 | 647.55 Mn |
| Mar 31, 2025 | 664.53 Mn |
| Dec 31, 2024 | 688.54 Mn |
| Sep 30, 2024 | 702.27 Mn |
| Jun 30, 2024 | 651.16 Mn |
| Mar 31, 2024 | 636.14 Mn |
| Dec 31, 2023 | 552.54 Mn |
| Sep 30, 2023 | 546.41 Mn |
| Jun 30, 2023 | 528.49 Mn |
| Mar 31, 2023 | 513.35 Mn |
| Dec 31, 2022 | 587.94 Mn |
| Sep 30, 2022 | 614.14 Mn |
| Jun 30, 2022 | 605.28 Mn |
| Mar 31, 2022 | 574.21 Mn |
| Dec 31, 2021 | 589.75 Mn |
API Access
ExlService Holdings Total Liabilities 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=total-liabilities&ticker=EXLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();