Franklin Covey (FC) Gross Margin (2010 - 2026)
Franklin Covey's Gross Margin came in at 73.88% for fiscal Q3 2026 (quarter ended May 31, 2026), down 2.58 percentage points from 76.46% a year earlier and down 2.02 percentage points from the prior quarter.
Franklin Covey (FC) Gross Margin (2010 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Franklin Covey reported Gross Margin of 75.18%, down 1.81 percentage points year-over-year; for FY2025 (ended Aug 31, 2025), it was 76.22%, down 0.74 percentage points from FY2024.
- Gross Margin carries a five-year change of +2.97 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Gross Margin was 76.97% in FY2024 (+0.86 pp), 76.10% in FY2023 (-0.71 pp), 76.82% in FY2022 (-0.31 pp) and 77.13% in FY2021 (+3.88 pp).
- The fiscal Q3 2026 figure represents the lowest quarterly Gross Margin since fiscal Q3 2020.
- Year-over-year, Gross Margin has declined for five consecutive quarters, with an average year-over-year change of -0.59 percentage points over the last eight quarters.
- The fastest year-over-year change in Gross Margin over five years came in fiscal Q4 2024 (a gain of 2.07 percentage points), and the weakest in fiscal Q4 2025 (a drop of 2.64 percentage points).
- Business Quant data shows FC's Gross Margin at 75.90% (Q2 2026), 75.53% (Q1 2026) and 75.50% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 32.77% |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 50.95% |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 52.76% |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 31.19% |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 52.84% |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 8.51% |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 51.10% |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 70.95% |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Franklin Covey | 191.66 Mn | 116.75 Mn | 50.10 Mn | 73.88% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 73.88% |
| Feb 28, 2026 | 75.90% |
| Nov 30, 2025 | 75.53% |
| Aug 31, 2025 | 75.50% |
| May 31, 2025 | 76.46% |
| Feb 28, 2025 | 76.74% |
| Nov 30, 2024 | 76.30% |
| Aug 31, 2024 | 78.14% |
| May 31, 2024 | 76.60% |
| Feb 29, 2024 | 76.38% |
| Nov 30, 2023 | 76.43% |
| Aug 31, 2023 | 76.07% |
| May 31, 2023 | 75.91% |
| Feb 28, 2023 | 76.45% |
| Nov 30, 2022 | 76.03% |
| Aug 31, 2022 | 74.95% |
| May 31, 2022 | 77.27% |
| Feb 28, 2022 | 77.94% |
| Nov 30, 2021 | 77.70% |
| Aug 31, 2021 | 77.26% |
Franklin Covey Gross Margin 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=gross-margin&ticker=FC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=FC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();