Franklin Covey (FC) Return on Capital Employed [ROCE] (2011 - 2026)
Franklin Covey's Return on Capital Employed [ROCE] was 10.36% in fiscal Q3 2026 (quarter ended May 31, 2026), down 7.64 percentage points from 17.99% a year earlier but up 10.30 percentage points from the prior quarter.
Franklin Covey (FC) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025 (ended Aug 31, 2025), Return on Capital Employed [ROCE] at Franklin Covey came in at 6.01%, down 30.19 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of +3.29 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Capital Employed [ROCE] was 36.20% in FY2024 (+10.07 pp), 26.13% in FY2023 (+2.60 pp), 23.53% in FY2022 (+14.63 pp) and 8.90% in FY2021 (+6.19 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between 0.06% (fiscal Q2 2026) and 41.93% (fiscal Q4 2024) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has declined for six straight quarters, with an average year-over-year change of -12.42 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was fiscal Q4 2022 (a gain of 17.75 percentage points); the worst was fiscal Q4 2025 (a drop of 34.15 percentage points).
- Per Business Quant data, FC's Return on Capital Employed [ROCE] in the three fiscal quarters before Q3 2026 was 0.06% (Q2 2026), 0.69% (Q1 2026) and 7.78% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 22.86% |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 33.88% |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 7.54% |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 8.75% |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 31.56% |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 7.98% |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 25.89% |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 29.65% |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Franklin Covey | 193.35 Mn | 118.44 Mn | 50.10 Mn | 10.36% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 10.36% |
| Feb 28, 2026 | 0.06% |
| Nov 30, 2025 | 0.69% |
| Aug 31, 2025 | 7.78% |
| May 31, 2025 | 17.99% |
| Feb 28, 2025 | 27.23% |
| Nov 30, 2024 | 27.23% |
| Aug 31, 2024 | 41.93% |
| May 31, 2024 | 30.26% |
| Feb 29, 2024 | 29.19% |
| Nov 30, 2023 | 25.90% |
| Aug 31, 2023 | 32.88% |
| May 31, 2023 | 25.08% |
| Feb 28, 2023 | 21.53% |
| Nov 30, 2022 | 20.33% |
| Aug 31, 2022 | 26.31% |
| May 31, 2022 | 18.94% |
| Feb 28, 2022 | 14.68% |
| Nov 30, 2021 | 11.32% |
| Aug 31, 2021 | 8.56% |
Franklin Covey Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=FC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=FC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();