Franklin Covey (FC) Return on Assets [ROA] (2011 - 2026)
Franklin Covey (FC) recorded Return on Assets [ROA] of 1.08% in fiscal Q3 2026 (quarter ended May 31, 2026), down 3.77 percentage points from 4.85% a year earlier but up 2.16 percentage points from the prior quarter.
Franklin Covey (FC) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2025 (ended Aug 31, 2025), Franklin Covey reported Return on Assets [ROA] of 1.22%, down 8.01 percentage points from FY2024.
- Annual Return on Assets [ROA] has a five-year change of +5.60 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Assets [ROA] came in at 9.22% in FY2024 (+2.18 pp), 7.04% in FY2023 (-0.20 pp), 7.24% in FY2022 (+1.26 pp) and 5.99% in FY2021 (+10.37 pp).
- Quarterly Return on Assets [ROA] has ranged from -1.08% in fiscal Q2 2026 to 9.70% in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Return on Assets [ROA] has declined for six consecutive quarters, with an average year-over-year change of -3.83 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 14.26 percentage points in fiscal Q2 2022, against a drop of 8.79 percentage points in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -1.08% (Q2 2026), -0.60% (Q1 2026) and 1.33% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 11.69% |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 19.26% |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 2.00% |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 3.66% |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 16.32% |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 2.76% |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 17.39% |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 10.44% |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Franklin Covey | 193.35 Mn | 118.44 Mn | 50.10 Mn | 1.08% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.08% |
| Feb 28, 2026 | -1.08% |
| Nov 30, 2025 | -0.60% |
| Aug 31, 2025 | 1.33% |
| May 31, 2025 | 4.85% |
| Feb 28, 2025 | 7.71% |
| Nov 30, 2024 | 7.87% |
| Aug 31, 2024 | 9.70% |
| May 31, 2024 | 8.24% |
| Feb 29, 2024 | 7.76% |
| Nov 30, 2023 | 7.73% |
| Aug 31, 2023 | 7.67% |
| May 31, 2023 | 7.32% |
| Feb 28, 2023 | 8.12% |
| Nov 30, 2022 | 7.77% |
| Aug 31, 2022 | 7.56% |
| May 31, 2022 | 6.35% |
| Feb 28, 2022 | 8.73% |
| Nov 30, 2021 | 7.63% |
| Aug 31, 2021 | 5.89% |
Franklin Covey Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=FC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=FC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();