ExlService Holdings (EXLS) Total Non-Current Liabilities (2011 - 2026)
ExlService Holdings (EXLS) reported Total Non-Current Liabilities of $794.03 million for Q2 2026, up 34.1% from $592.08 million a year earlier but down 0.5% from the prior quarter.
ExlService Holdings (EXLS) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, ExlService Holdings posted Total Non-Current Liabilities of $708.13 million, up 11.5% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $634.97 million in FY2024 (+21.9%), $521.07 million in FY2023 (-4.7%), $546.65 million in FY2022 (-3.3%) and $565.16 million in FY2021 (+10.7%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $469.56 million in Q3 2021 and a high of $797.99 million in Q1 2026.
- Year over year, Total Non-Current Liabilities has now increased in each of the last four quarters, with growth averaging 16.7% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2022 (growth of 35.7%); the low point was Q2 2023 (a decline of 13.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $797.99 million (Q1 2026), $708.13 million (Q4 2025) and $719.86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | 1.10 Bn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | 5.59 Bn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | 1.39 Bn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | 32.02 Bn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | 6.52 Bn |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | 8.45 Mn |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | 30.80 Bn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | 10.19 Bn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | 991.88 Mn |
| 10 | ExlService Holdings | 6.07 Bn | 4.81 Bn | 225.96 Mn | 794.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 794.03 Mn |
| Mar 31, 2026 | 797.99 Mn |
| Dec 31, 2025 | 708.13 Mn |
| Sep 30, 2025 | 719.86 Mn |
| Jun 30, 2025 | 592.08 Mn |
| Mar 31, 2025 | 609.06 Mn |
| Dec 31, 2024 | 634.97 Mn |
| Sep 30, 2024 | 659.59 Mn |
| Jun 30, 2024 | 613.55 Mn |
| Mar 31, 2024 | 602.75 Mn |
| Dec 31, 2023 | 521.07 Mn |
| Sep 30, 2023 | 515.05 Mn |
| Jun 30, 2023 | 500.15 Mn |
| Mar 31, 2023 | 487.05 Mn |
| Dec 31, 2022 | 546.65 Mn |
| Sep 30, 2022 | 576.90 Mn |
| Jun 30, 2022 | 576.08 Mn |
| Mar 31, 2022 | 549.22 Mn |
| Dec 31, 2021 | 565.16 Mn |
| Sep 30, 2021 | 467.77 Mn |
ExlService Holdings Total Non-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-non-current-liabilities&ticker=EXLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();