Everforth (EFOR) EBITDA (2010 - 2026)
Everforth (EFOR) posted EBITDA of $72.3 million for Q2 2026, down 18.1% from $88.3 million a year earlier but up 29.8% from the prior quarter.
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Analysis
Everforth (EFOR) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Everforth was $311.3 million, down 13.7% year-over-year; for FY2025, it was $343.8 million, down 14.2% from FY2024.
- Annual EBITDA has declined for three consecutive years, with a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- In prior years, Everforth's EBITDA was $400.7 million in FY2024 (-13.7%), $464.4 million in FY2023 (-7.3%), $500.9 million in FY2022 (+13.7%) and $440.5 million in FY2021 (+18.8%).
- Quarterly EBITDA has run from a low of $55.7 million in Q1 2026 to a high of $133.4 million in Q3 2022 over five years.
- On a year-over-year basis, EBITDA has declined in each of the last 15 quarters, with an average decline of 15.7% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2022, with growth of 35.0%; the weakest was Q1 2025, with a decline of 24.3%.
- According to Business Quant data, EBITDA for the three prior quarters was $55.7 million (Q1 2026), $86.1 million (Q4 2025) and $97.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.17 Bn | 38.67 Bn | 1.60 Bn | 13.55 Bn |
| 2 | Cognizant Technology Solutions | 32.05 Bn | 25.22 Bn | 1.83 Bn | 1.02 Bn |
| 3 | Wipro | 22.37 Bn | 17.51 Bn | 745.00 Mn | 515.72 Mn |
| 4 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn | 749.12 Mn |
| 5 | Cdw | 19.87 Bn | 17.86 Bn | 1.32 Bn | 503.70 Mn |
| 6 | Cgi | 17.62 Bn | 15.41 Bn | - | 591.24 Mn |
| 7 | Arrow Electronics | 11.23 Bn | 10.17 Bn | 1.13 Bn | 412.93 Mn |
| 8 | Avnet | 7.59 Bn | 6.77 Bn | 865.03 Mn | 268.27 Mn |
| 9 | EPAM Systems | 6.90 Bn | 2.54 Bn | 429.57 Mn | 184.32 Mn |
| 10 | Everforth | 1.60 Bn | 1.02 Bn | 284.60 Mn | 72.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.30 Mn |
| Mar 31, 2026 | 55.70 Mn |
| Dec 31, 2025 | 86.10 Mn |
| Sep 30, 2025 | 97.20 Mn |
| Jun 30, 2025 | 88.30 Mn |
| Mar 31, 2025 | 72.20 Mn |
| Dec 31, 2024 | 98.10 Mn |
| Sep 30, 2024 | 102.30 Mn |
| Jun 30, 2024 | 104.90 Mn |
| Mar 31, 2024 | 95.40 Mn |
| Dec 31, 2023 | 109.10 Mn |
| Sep 30, 2023 | 123.40 Mn |
| Jun 30, 2023 | 122.80 Mn |
| Mar 31, 2023 | 109.10 Mn |
| Dec 31, 2022 | 117.00 Mn |
| Sep 30, 2022 | 133.40 Mn |
| Jun 30, 2022 | 129.80 Mn |
| Mar 31, 2022 | 120.70 Mn |
| Dec 31, 2021 | 117.60 Mn |
| Sep 30, 2021 | 124.20 Mn |
API Access
Everforth EBITDA 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=ebitda&ticker=EFOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=EFOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();