Everforth (EFOR) Other Accumulated Expenses (2010 - 2026)
Everforth's Other Accumulated Expenses was $143.8 million in Q2 2026, down 23.8% from $188.8 million a year earlier and down 2.8% from the prior quarter.
Everforth (EFOR) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Everforth came in at $145.7 million, up 19.5% from FY2024.
- Other Accumulated Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $121.9 million in FY2024 (+17.1%), $104.1 million in FY2023 (+5.5%), $98.7 million in FY2022 (-3.2%) and $102 million in FY2021 (+35.3%).
- The Q2 2026 figure marks the lowest quarterly Other Accumulated Expenses since Q4 2024.
- Compared with a year earlier, Other Accumulated Expenses was higher in five of the last eight quarters, with growth averaging 25.8%.
- The best year-over-year quarter for Other Accumulated Expenses over five years was Q3 2025 (growth of 76.1%); the worst was Q2 2026 (a decline of 23.8%).
- Per Business Quant data, EFOR's Other Accumulated Expenses in the three quarters before Q2 2026 was $147.9 million (Q1 2026), $145.7 million (Q4 2025) and $212.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn |
| 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 | Everforth | 1.40 Bn | 817.44 Mn | 284.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 143.80 Mn |
| Mar 31, 2026 | 147.90 Mn |
| Dec 31, 2025 | 145.70 Mn |
| Sep 30, 2025 | 212.90 Mn |
| Jun 30, 2025 | 188.80 Mn |
| Mar 31, 2025 | 160.20 Mn |
| Dec 31, 2024 | 121.90 Mn |
| Sep 30, 2024 | 120.90 Mn |
| Jun 30, 2024 | 114.20 Mn |
| Mar 31, 2024 | 92.60 Mn |
| Dec 31, 2023 | 104.10 Mn |
| Sep 30, 2023 | 139.80 Mn |
| Jun 30, 2023 | 106.10 Mn |
| Mar 31, 2023 | 79.20 Mn |
| Dec 31, 2022 | 98.70 Mn |
| Sep 30, 2022 | 106.10 Mn |
| Jun 30, 2022 | 99.80 Mn |
| Mar 31, 2022 | 82.50 Mn |
| Dec 31, 2021 | 102.00 Mn |
| Sep 30, 2021 | 93.30 Mn |
Everforth Other Accumulated Expenses 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=other-accumulated-expenses&ticker=EFOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=EFOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();