Everforth (EFOR) Property, Plant & Equipment (Net) (2009 - 2026)
Everforth (EFOR) reported Property, Plant & Equipment (Net) of $79 million for Q2 2026, down 5.2% from $83.3 million a year earlier and down 2.7% from the prior quarter.
Everforth (EFOR) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Everforth posted Property, Plant & Equipment (Net) of $84.5 million, up 2.3% from FY2024.
- Property, Plant & Equipment (Net) has increased for five consecutive years, with a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $82.6 million in FY2024 (+1.5%), $81.4 million in FY2023 (+22.8%), $66.3 million in FY2022 (+20.5%) and $55 million in FY2021 (+0.2%).
- The Q2 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since Q3 2023.
- Year over year, Property, Plant & Equipment (Net) gained in six of the last eight quarters, with growth averaging 1.0%.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q2 2023 (growth of 27.9%); the low point was Q3 2021 (a decline of 29.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $81.2 million (Q1 2026), $84.5 million (Q4 2025) and $83.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | 980.00 Mn |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | 163.60 Mn |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | 565.11 Mn |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | 253.96 Mn |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | 452.90 Mn |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | 203.12 Mn |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 637.03 Mn |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 122.88 Mn |
| 10 | Everforth | 1.48 Bn | 873.17 Mn | 291.60 Mn | 78.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 78.60 Mn |
| Jun 30, 2026 | 79.00 Mn |
| Mar 31, 2026 | 81.20 Mn |
| Dec 31, 2025 | 84.50 Mn |
| Sep 30, 2025 | 83.10 Mn |
| Jun 30, 2025 | 83.30 Mn |
| Mar 31, 2025 | 79.70 Mn |
| Dec 31, 2024 | 82.60 Mn |
| Sep 30, 2024 | 79.20 Mn |
| Jun 30, 2024 | 79.10 Mn |
| Mar 31, 2024 | 82.90 Mn |
| Dec 31, 2023 | 81.40 Mn |
| Sep 30, 2023 | 78.60 Mn |
| Jun 30, 2023 | 76.10 Mn |
| Mar 31, 2023 | 71.80 Mn |
| Dec 31, 2022 | 66.30 Mn |
| Sep 30, 2022 | 62.30 Mn |
| Jun 30, 2022 | 59.50 Mn |
| Mar 31, 2022 | 58.60 Mn |
| Dec 31, 2021 | 55.00 Mn |
Everforth Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=EFOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "EFOR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=EFOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();