Forrester Research (FORR) Return on Sales [ROS] (2010 - 2026)
Forrester Research (FORR) posted Return on Sales [ROS] of 3.39% for Q2 2026, down 2.84 percentage points from 6.23% a year earlier but up 25.19 percentage points from the prior quarter.
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Analysis
Forrester Research (FORR) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Forrester Research was -12.54%, up 7.34 percentage points year-over-year; for FY2025, it was -28.51%, down 28.69 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for four consecutive years, with a five-year change of -24.91 percentage points (FY2020 to FY2025).
- In prior years, Forrester Research's Return on Sales [ROS] was 0.17% in FY2024 (-1.24 pp), 1.41% in FY2023 (-4.66 pp), 6.07% in FY2022 (-1.75 pp) and 7.82% in FY2021 (+11.42 pp).
- Quarterly Return on Sales [ROS] has run from a low of -97.46% in Q1 2025 to a high of 13.97% in Q2 2022 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -6.69 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2026, with a gain of 75.66 percentage points; the weakest was Q1 2025, with a drop of 88.17 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -21.80% (Q1 2026), -36.60% (Q4 2025) and 4.73% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 23.17% |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 7.76% |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.26% |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 18.67% |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 18.38% |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Forrester Research | 216.37 Mn | -45.51 Mn | 56.52 Mn | 3.39% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.39% |
| Mar 31, 2026 | -21.80% |
| Dec 31, 2025 | -36.60% |
| Sep 30, 2025 | 4.73% |
| Jun 30, 2025 | 6.23% |
| Mar 31, 2025 | -97.46% |
| Dec 31, 2024 | -0.51% |
| Sep 30, 2024 | -0.71% |
| Jun 30, 2024 | 9.29% |
| Mar 31, 2024 | -9.28% |
| Dec 31, 2023 | -1.22% |
| Sep 30, 2023 | 4.46% |
| Jun 30, 2023 | 6.11% |
| Mar 31, 2023 | -4.52% |
| Dec 31, 2022 | -2.25% |
| Sep 30, 2022 | 6.70% |
| Jun 30, 2022 | 13.97% |
| Mar 31, 2022 | 5.18% |
| Dec 31, 2021 | 8.59% |
| Sep 30, 2021 | 5.54% |
API Access
Forrester Research 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=FORR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FORR", "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=FORR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();