Everforth (EFOR) Return on Sales [ROS] (2009 - 2026)
Everforth (EFOR) posted Return on Sales [ROS] of 4.08% for Q2 2026, down 1.76 percentage points from 5.84% a year earlier but up 1.22 percentage points from the prior quarter.
Powered by 
Analysis
Everforth (EFOR) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Everforth was 4.86%, down 1.61 percentage points year-over-year; for FY2025, it came in at 5.79%, down 1.64 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for three consecutive years, with a five-year change of -2.24 percentage points (FY2020 to FY2025).
- In prior years, Everforth's Return on Sales [ROS] was 7.42% in FY2024 (-0.76 pp), 8.18% in FY2023 (-0.76 pp), 8.94% in FY2022 (+0.19 pp) and 8.75% in FY2021 (+0.72 pp).
- Quarterly Return on Sales [ROS] has run from a low of 2.86% in Q1 2026 to a high of 9.64% in Q2 2022 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last 16 quarters, with an average year-over-year change of -1.47 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2022, with a gain of 1.79 percentage points; the weakest was Q1 2026, with a drop of 1.95 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 2.86% (Q1 2026), 5.73% (Q4 2025) and 6.71% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | 20.97% |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | 15.40% |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | 7.25% |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | 2.98% |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | 15.85% |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | 4.01% |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | 12.33% |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 4.43% |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 14.02% |
| 10 | Everforth | 1.48 Bn | 873.17 Mn | 291.60 Mn | 5.49% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.49% |
| Jun 30, 2026 | 4.08% |
| Mar 31, 2026 | 2.86% |
| Dec 31, 2025 | 5.73% |
| Sep 30, 2025 | 6.71% |
| Jun 30, 2025 | 5.84% |
| Mar 31, 2025 | 4.81% |
| Dec 31, 2024 | 7.53% |
| Sep 30, 2024 | 7.65% |
| Jun 30, 2024 | 7.77% |
| Mar 31, 2024 | 6.76% |
| Dec 31, 2023 | 7.76% |
| Sep 30, 2023 | 8.83% |
| Jun 30, 2023 | 8.66% |
| Mar 31, 2023 | 7.46% |
| Dec 31, 2022 | 7.86% |
| Sep 30, 2022 | 9.05% |
| Jun 30, 2022 | 9.64% |
| Mar 31, 2022 | 9.22% |
| Dec 31, 2021 | 9.06% |
API Access
Everforth Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=EFOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=EFOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();