Franklin Covey (FC) Return on Sales [ROS] (2010 - 2026)
Franklin Covey's Return on Sales [ROS] came in at 6.19% for fiscal Q3 2026 (quarter ended May 31, 2026), up 9.47 percentage points from -3.28% a year earlier and up 9.54 percentage points from the prior quarter.
Franklin Covey (FC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Franklin Covey reported Return on Sales [ROS] of 2.45%, down 3.18 percentage points year-over-year; for FY2025 (ended Aug 31, 2025), it came in at 2.14%, down 9.37 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +0.59 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Return on Sales [ROS] was 11.50% in FY2024 (+2.11 pp), 9.40% in FY2023 (+0.39 pp), 9.01% in FY2022 (+5.39 pp) and 3.61% in FY2021 (+2.07 pp).
- The five-year range for quarterly Return on Sales [ROS] is -5.70% (fiscal Q1 2026) to 21.31% (fiscal Q4 2024).
- Year-over-year, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -3.36 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q3 2026 (a gain of 9.47 percentage points), and the weakest in fiscal Q3 2025 (a drop of 14.65 percentage points).
- Business Quant data shows FC's Return on Sales [ROS] at -3.35% (Q2 2026), -5.70% (Q1 2026) and 11.07% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 141.87 Bn | 102.28 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 78.27 Bn | 77.46 Bn | 1.48 Bn | 23.17% |
| 3 | Iron Mountain | 33.11 Bn | 32.63 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 17.29 Bn | 14.33 Bn | 703.00 Mn | 7.76% |
| 5 | Rollins | 14.72 Bn | 14.27 Bn | 569.95 Mn | 18.67% |
| 6 | Aramark | 14.39 Bn | 12.40 Bn | 430.34 Mn | 4.26% |
| 7 | UL Solutions | 13.43 Bn | 12.22 Bn | 417.00 Mn | 18.38% |
| 8 | Gartner | 12.17 Bn | 5.86 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.01 Bn | 3.35 Bn | - | - |
| 10 | Franklin Covey | 196.85 Mn | 121.94 Mn | 50.10 Mn | 6.19% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 6.19% |
| Feb 28, 2026 | -3.35% |
| Nov 30, 2025 | -5.70% |
| Aug 31, 2025 | 11.07% |
| May 31, 2025 | -3.28% |
| Feb 28, 2025 | -2.44% |
| Nov 30, 2024 | 2.14% |
| Aug 31, 2024 | 21.31% |
| May 31, 2024 | 11.37% |
| Feb 29, 2024 | 2.35% |
| Nov 30, 2023 | 7.79% |
| Aug 31, 2023 | 13.56% |
| May 31, 2023 | 9.20% |
| Feb 28, 2023 | 4.58% |
| Nov 30, 2022 | 9.21% |
| Aug 31, 2022 | 10.99% |
| May 31, 2022 | 8.99% |
| Feb 28, 2022 | 6.21% |
| Nov 30, 2021 | 9.05% |
| Aug 31, 2021 | 6.26% |
Franklin Covey 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=FC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FC", "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=FC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();