Franklin Covey (FC) EBITDA (2010 - 2026)
Franklin Covey (FC) posted EBITDA of $7.56 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 652.0% from $1.01 million a year earlier and up 564.7% from the prior quarter.
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Analysis
Franklin Covey (FC) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, EBITDA at Franklin Covey was $19.26 million, down 31.4% year-over-year; for FY2025 (ended Aug 31, 2025), it was $18.6 million, down 58.1% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- In prior fiscal years, Franklin Covey's EBITDA was $44.37 million in FY2024 (+16.6%), $38.06 million in FY2023 (+2.3%), $37.2 million in FY2022 (+63.6%) and $22.74 million in FY2021 (+24.4%).
- Quarterly EBITDA has run from a low of -$676,000 in fiscal Q1 2026 to a high of $20.72 million in fiscal Q4 2024 over five years.
- On a year-over-year basis, EBITDA increased in two of the last seven quarters, with growth averaging 61.5%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q3 2026, with growth of 652.0%; the weakest was fiscal Q3 2025, with a decline of 91.1%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $1.14 million (Q2 2026), -$676,000 (Q1 2026) and $11.24 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 803.77 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 234.97 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 351.69 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 196.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 423.70 Mn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Franklin Covey | 191.66 Mn | 116.75 Mn | 50.10 Mn | 7.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 7.56 Mn |
| Feb 28, 2026 | 1.14 Mn |
| Nov 30, 2025 | -676,000.00 |
| Aug 31, 2025 | 11.24 Mn |
| May 31, 2025 | 1.01 Mn |
| Feb 28, 2025 | 1.80 Mn |
| Nov 30, 2024 | 4.56 Mn |
| Aug 31, 2024 | 20.72 Mn |
| May 31, 2024 | 11.23 Mn |
| Feb 29, 2024 | 4.24 Mn |
| Nov 30, 2023 | 8.18 Mn |
| Aug 31, 2023 | 13.48 Mn |
| May 31, 2023 | 9.33 Mn |
| Feb 28, 2023 | 5.68 Mn |
| Nov 30, 2022 | 9.57 Mn |
| Aug 31, 2022 | 12.02 Mn |
| May 31, 2022 | 9.25 Mn |
| Feb 28, 2022 | 6.88 Mn |
| Nov 30, 2021 | 9.04 Mn |
| Aug 31, 2021 | 7.96 Mn |
API Access
Franklin Covey EBITDA 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=ebitda&ticker=FC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();