Franklin Covey (FC) Cost of Revenue (2010 - 2026)
Franklin Covey (FC) posted Cost of Revenue of $17.71 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 12.1% from $15.8 million a year earlier and up 23.2% from the prior quarter.
Powered by 
Analysis
Franklin Covey (FC) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, Cost of Revenue at Franklin Covey was $65.21 million, up 1.2% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $63.5 million, down 4.0% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- In prior fiscal years, Franklin Covey's Cost of Revenue was $66.16 million in FY2024 (-1.3%), $67.03 million in FY2023 (+10.0%), $60.93 million in FY2022 (+18.8%) and $51.27 million in FY2021 (-3.4%).
- The fiscal Q3 2026 figure stands as the highest quarterly Cost of Revenue since fiscal Q4 2024.
- On a year-over-year basis, Cost of Revenue increased in three of the last eight quarters, with an average decline of 0.7%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was fiscal Q4 2021, with growth of 40.7%; the weakest was fiscal Q3 2025, with a decline of 8.0%.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $14.37 million (Q2 2026), $15.67 million (Q1 2026) and $17.46 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 12.58 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 1.42 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 958.61 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 1.55 Bn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.63 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 508.63 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 399.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 486.91 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Franklin Covey | 195.27 Mn | 120.36 Mn | 50.10 Mn | 17.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 17.71 Mn |
| Feb 28, 2026 | 14.37 Mn |
| Nov 30, 2025 | 15.67 Mn |
| Aug 31, 2025 | 17.46 Mn |
| May 31, 2025 | 15.80 Mn |
| Feb 28, 2025 | 13.87 Mn |
| Nov 30, 2024 | 16.38 Mn |
| Aug 31, 2024 | 18.39 Mn |
| May 31, 2024 | 17.17 Mn |
| Feb 29, 2024 | 14.49 Mn |
| Nov 30, 2023 | 16.12 Mn |
| Aug 31, 2023 | 18.65 Mn |
| May 31, 2023 | 17.21 Mn |
| Feb 28, 2023 | 14.55 Mn |
| Nov 30, 2022 | 16.63 Mn |
| Aug 31, 2022 | 19.74 Mn |
| May 31, 2022 | 15.04 Mn |
| Feb 28, 2022 | 12.49 Mn |
| Nov 30, 2021 | 13.66 Mn |
| Aug 31, 2021 | 15.68 Mn |
API Access
Franklin Covey Cost of Revenue 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=cost-of-revenue&ticker=FC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=FC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();