Franklin Covey (FC) Enterprise Value (2011 - 2026)
Franklin Covey's Enterprise Value came in at $255.92 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 2.3% from $261.86 million a year earlier but up 92.3% from the prior quarter.
Franklin Covey (FC) Enterprise Value (2011 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Franklin Covey reported Enterprise Value of $192.98 million, up 61.5% year-over-year; for FY2025 (ended Aug 31, 2025), it was $206.07 million, down 57.3% from FY2024.
- Enterprise Value has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- Going back by fiscal year, Enterprise Value was $482.14 million in FY2024 (-9.9%), $534.97 million in FY2023 (-10.9%), $600.54 million in FY2022 (+4.7%) and $573.7 million in FY2021 (+129.7%).
- The five-year range for quarterly Enterprise Value is $133.05 million (fiscal Q2 2026) to $664.35 million (fiscal Q1 2023).
- Year-over-year, Enterprise Value has declined for 14 consecutive quarters, with an average decline of 33.5% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q4 2021 (growth of 129.7%), and the weakest in fiscal Q2 2026 (a decline of 64.5%).
- Business Quant data shows FC's Enterprise Value at $133.05 million (Q2 2026), $164.08 million (Q1 2026) and $206.07 million (Q4 2025) in the three fiscal quarters before Q3 2026.
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 | 255.92 Mn |
| Feb 28, 2026 | 133.05 Mn |
| Nov 30, 2025 | 164.08 Mn |
| Aug 31, 2025 | 206.07 Mn |
| May 31, 2025 | 261.86 Mn |
| Feb 28, 2025 | 374.95 Mn |
| Nov 30, 2024 | 426.76 Mn |
| Aug 31, 2024 | 482.14 Mn |
| May 31, 2024 | 447.92 Mn |
| Feb 29, 2024 | 465.59 Mn |
| Nov 30, 2023 | 482.61 Mn |
| Aug 31, 2023 | 534.97 Mn |
| May 31, 2023 | 448.17 Mn |
| Feb 28, 2023 | 594.16 Mn |
| Nov 30, 2022 | 664.35 Mn |
| Aug 31, 2022 | 600.54 Mn |
| May 31, 2022 | 478.84 Mn |
| Feb 28, 2022 | 600.15 Mn |
| Nov 30, 2021 | 577.54 Mn |
| Aug 31, 2021 | 573.70 Mn |
Franklin Covey Enterprise Value 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=enterprise-value&ticker=FC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=FC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();