Everforth (EFOR) Operating Expenses (2010 - 2026)
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Analysis
Everforth (EFOR) Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - | - |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn | 892.00 Mn |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn | 895.80 Mn |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn | 784.64 Mn |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn | 747.88 Mn |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn | 237.39 Mn |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn | 634.01 Mn |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn | 152.28 Mn |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn | 87.00 Mn |
| 10 | Everforth | 1.42 Bn | 817.29 Mn | 291.60 Mn | 217.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 217.70 Mn |
| Jun 30, 2026 | 226.20 Mn |
| Mar 31, 2026 | 224.40 Mn |
| Dec 31, 2025 | 210.50 Mn |
| Sep 30, 2025 | 212.20 Mn |
| Jun 30, 2025 | 216.80 Mn |
| Mar 31, 2025 | 214.50 Mn |
| Dec 31, 2024 | 197.90 Mn |
| Sep 30, 2024 | 207.50 Mn |
| Jun 30, 2024 | 205.60 Mn |
| Mar 31, 2024 | 210.20 Mn |
| Dec 31, 2023 | 203.60 Mn |
| Sep 30, 2023 | 206.00 Mn |
| Jun 30, 2023 | 210.50 Mn |
| Mar 31, 2023 | 224.10 Mn |
| Dec 31, 2022 | 229.90 Mn |
| Sep 30, 2022 | 232.60 Mn |
| Jun 30, 2022 | 220.40 Mn |
| Mar 31, 2022 | 212.10 Mn |
| Dec 31, 2021 | 202.40 Mn |
API Access
Everforth Operating 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=operating-expenses&ticker=EFOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=EFOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();