ExlService Holdings (EXLS) Sales of Property, Plant and Equipment (2019 - 2026)
ExlService Holdings (EXLS) reported Sales of Property, Plant and Equipment of $45,000 for Q2 2026, down 47.1% from $85,000 a year earlier and down 62.8% from the prior quarter.
ExlService Holdings (EXLS) Sales of Property, Plant and Equipment (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, ExlService Holdings' Sales of Property, Plant and Equipment came in at $337,000, up 10.5% year-over-year; for FY2025, it came in at $351,000, up 63.3% from FY2024.
- Sales of Property, Plant and Equipment has a five-year compound annual growth rate of -17.5% (FY2020 to FY2025).
- By year, Sales of Property, Plant and Equipment came in at $215,000 in FY2024 (-70.9%), $739,000 in FY2023 (+177.8%), $266,000 in FY2022 (-79.5%) and $1.3 million in FY2021 (+41.9%).
- Five-year quarterly Sales of Property, Plant and Equipment spans a low of -$18,000 in Q2 2023 and a high of $565,000 in Q1 2023.
- Year over year, Sales of Property, Plant and Equipment gained in four of the last eight quarters, with growth averaging 27.1%.
- The high point for year-over-year Sales of Property, Plant and Equipment in five years was Q1 2023 (growth of 796.8%); the low point was Q1 2024 (a decline of 89.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $121,000 (Q1 2026), $36,000 (Q4 2025) and $135,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | -81.00 Mn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | - |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | - |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | - |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | - |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | - |
| 10 | ExlService Holdings | 5.42 Bn | 4.17 Bn | 225.96 Mn | 45,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45,000.00 |
| Mar 31, 2026 | 121,000.00 |
| Dec 31, 2025 | 36,000.00 |
| Sep 30, 2025 | 135,000.00 |
| Jun 30, 2025 | 85,000.00 |
| Mar 31, 2025 | 95,000.00 |
| Dec 31, 2024 | 43,000.00 |
| Sep 30, 2024 | 82,000.00 |
| Jun 30, 2024 | 28,000.00 |
| Mar 31, 2024 | 62,000.00 |
| Dec 31, 2023 | 99,000.00 |
| Sep 30, 2023 | 93,000.00 |
| Jun 30, 2023 | -18,000.00 |
| Mar 31, 2023 | 565,000.00 |
| Dec 31, 2022 | 69,000.00 |
| Sep 30, 2022 | 43,000.00 |
| Jun 30, 2022 | 91,000.00 |
| Mar 31, 2022 | 63,000.00 |
| Dec 31, 2021 | 475,000.00 |
| Sep 30, 2021 | 298,000.00 |
ExlService Holdings Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=EXLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();