Franklin Covey (FC) EV to EBITDA (2011 - 2026)
Franklin Covey's (FC) EV to EBITDA was 13.29 for fiscal Q3 2026 (quarter ended May 31, 2026), up 42.4% from 9.33 a year earlier and up 26.9% from the prior quarter.
Franklin Covey (FC) EV to EBITDA (2011 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Franklin Covey's EV to EBITDA came in at 10.02, up 135.3% year-over-year; for FY2025 (ended Aug 31, 2025), it was 11.08, up 1.9% from FY2024.
- By fiscal year, EV to EBITDA came in at 10.87 in FY2024 (-22.7%), 14.06 in FY2023 (-12.9%), 16.14 in FY2022 (-36.0%) and 25.23 in FY2021 (+84.6%).
- The fiscal Q3 2026 figure ranks as the highest quarterly EV to EBITDA since fiscal Q4 2023.
- Year over year, EV to EBITDA has now increased in each of the last four quarters, with an average decline of 2.9% over the last eight quarters.
- The high point for year-over-year EV to EBITDA in five years was fiscal Q4 2021 (growth of 72.3%); the low point was fiscal Q2 2025 (a decline of 25.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 10.47 (Q2 2026), 12.27 (Q1 2026) and 11.08 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - |
| 10 | Franklin Covey | 191.66 Mn | 116.75 Mn | 50.10 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 13.29 |
| Feb 28, 2026 | 10.47 |
| Nov 30, 2025 | 12.27 |
| Aug 31, 2025 | 11.08 |
| May 31, 2025 | 9.33 |
| Feb 28, 2025 | 9.79 |
| Nov 30, 2024 | 10.48 |
| Aug 31, 2024 | 10.87 |
| May 31, 2024 | 12.06 |
| Feb 29, 2024 | 13.22 |
| Nov 30, 2023 | 13.16 |
| Aug 31, 2023 | 14.06 |
| May 31, 2023 | 12.25 |
| Feb 28, 2023 | 16.27 |
| Nov 30, 2022 | 17.61 |
| Aug 31, 2022 | 16.14 |
| May 31, 2022 | 14.45 |
| Feb 28, 2022 | 19.68 |
| Nov 30, 2021 | 21.23 |
| Aug 31, 2021 | 19.60 |
Franklin Covey EV to 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=ev-to-ebitda&ticker=FC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=FC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();