ExlService Holdings (EXLS) Total Current Liabilities (2010 - 2026)
ExlService Holdings' Total Current Liabilities came in at $444.19 million for Q3 2026, up 44.7% from $307 million a year earlier but down 36.9% from the prior quarter.
ExlService Holdings (EXLS) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, ExlService Holdings' Total Current Liabilities was $324.13 million, up 11.7% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $290.12 million in FY2024 (-11.1%), $326.4 million in FY2023 (+17.4%), $277.95 million in FY2022 (-43.9%) and $495.69 million in FY2021 (+124.2%).
- The five-year range for quarterly Total Current Liabilities is $222.12 million (Q1 2022) to $703.65 million (Q2 2026).
- Year-over-year, Total Current Liabilities has increased for five consecutive quarters, with growth averaging 29.4% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q2 2026 (growth of 158.4%), and the weakest in Q4 2022 (a decline of 43.9%).
- Business Quant data shows EXLS's Total Current Liabilities at $703.65 million (Q2 2026), $299.51 million (Q1 2026) and $324.13 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn | 3.64 Bn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn | 4.47 Bn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn | 8.98 Bn |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - | 3.77 Bn |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn | 27.61 Bn |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn | 28.74 Bn |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn | 844.04 Mn |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn | 444.19 Mn |
| 10 | Avnet | 6.53 Bn | 5.71 Bn | 865.03 Mn | 7.50 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 444.19 Mn |
| Jun 30, 2026 | 703.65 Mn |
| Mar 31, 2026 | 299.51 Mn |
| Dec 31, 2025 | 324.13 Mn |
| Sep 30, 2025 | 307.00 Mn |
| Jun 30, 2025 | 272.30 Mn |
| Mar 31, 2025 | 243.65 Mn |
| Dec 31, 2024 | 290.12 Mn |
| Sep 30, 2024 | 254.19 Mn |
| Jun 30, 2024 | 286.86 Mn |
| Mar 31, 2024 | 261.44 Mn |
| Dec 31, 2023 | 326.40 Mn |
| Sep 30, 2023 | 306.15 Mn |
| Jun 30, 2023 | 259.06 Mn |
| Mar 31, 2023 | 280.90 Mn |
| Dec 31, 2022 | 277.95 Mn |
| Sep 30, 2022 | 286.97 Mn |
| Jun 30, 2022 | 266.01 Mn |
| Mar 31, 2022 | 222.12 Mn |
| Dec 31, 2021 | 495.69 Mn |
ExlService Holdings Total Current 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-current-liabilities&ticker=EXLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();