ExlService Holdings (EXLS) Non-Current Assets (2010 - 2026)
ExlService Holdings (EXLS) recorded Non-Current Assets of $1.11 billion in Q3 2026, up 32.4% from $841.69 million a year earlier and up 27.7% from the prior quarter.
ExlService Holdings (EXLS) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, ExlService Holdings reported Non-Current Assets of $872.28 million, up 6.0% from FY2024.
- Annual Non-Current Assets has increased for five straight years, with a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $823.21 million in FY2024 (+8.0%), $762.3 million in FY2023 (+4.0%), $733.33 million in FY2022 (+4.1%) and $704.76 million in FY2021 (+10.4%).
- The Q3 2026 figure is the highest quarterly Non-Current Assets in data going back to Q4 2010.
- On a year-over-year basis, Non-Current Assets has increased for four consecutive quarters, with growth averaging 8.5% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 32.4% in Q3 2026, against a decline of 0.1% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $872.61 million (Q2 2026), $879.02 million (Q1 2026) and $872.28 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn | -181.10 Mn |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn | 13.24 Bn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn | 6.60 Bn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn | 8.23 Bn |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - | -10.59 Mn |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn | 8.95 Bn |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn | 3.39 Bn |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn | 2.35 Bn |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn | 1.11 Bn |
| 10 | Avnet | 6.53 Bn | 5.71 Bn | 865.03 Mn | 2.09 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.11 Bn |
| Jun 30, 2026 | 872.61 Mn |
| Mar 31, 2026 | 879.02 Mn |
| Dec 31, 2025 | 872.28 Mn |
| Sep 30, 2025 | 841.69 Mn |
| Jun 30, 2025 | 850.19 Mn |
| Mar 31, 2025 | 845.11 Mn |
| Dec 31, 2024 | 823.21 Mn |
| Sep 30, 2024 | 842.14 Mn |
| Jun 30, 2024 | 800.06 Mn |
| Mar 31, 2024 | 774.67 Mn |
| Dec 31, 2023 | 762.30 Mn |
| Sep 30, 2023 | 750.93 Mn |
| Jun 30, 2023 | 749.53 Mn |
| Mar 31, 2023 | 742.34 Mn |
| Dec 31, 2022 | 733.33 Mn |
| Sep 30, 2022 | 738.14 Mn |
| Jun 30, 2022 | 729.92 Mn |
| Mar 31, 2022 | 701.93 Mn |
| Dec 31, 2021 | 704.76 Mn |
ExlService Holdings Non-Current Assets 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=non-current-assets&ticker=EXLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();