Franklin Covey (FC) Prepaid Assets (2011 - 2026)
Franklin Covey (FC) recorded Prepaid Assets of $23.75 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 1.5% from $23.39 million a year earlier but down 9.3% from the prior quarter.
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Analysis
Franklin Covey (FC) Prepaid Assets (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Franklin Covey reported Prepaid Assets of $24.2 million, up 373.5% from FY2024.
- Annual Prepaid Assets has a five-year compound annual growth rate of 46.0% (FY2020 to FY2025).
- Across earlier fiscal years, Prepaid Assets came in at $5.11 million in FY2024 (+16.1%), $4.4 million in FY2023 (-6.6%), $4.71 million in FY2022 (+44.9%) and $3.25 million in FY2021 (-10.8%).
- Quarterly Prepaid Assets has ranged from $3.25 million in fiscal Q4 2021 to $27.06 million in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, Prepaid Assets has increased for 11 consecutive quarters, with growth averaging 60.6% over the last eight quarters.
- Peak year-over-year performance for Prepaid Assets in the last five years was growth of 373.5% in fiscal Q4 2025, against a decline of 10.8% in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $26.19 million (Q2 2026), $27.06 million (Q1 2026) and $24.2 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - |
| 10 | Franklin Covey | 190.75 Mn | 115.84 Mn | 50.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 23.75 Mn |
| Feb 28, 2026 | 26.19 Mn |
| Nov 30, 2025 | 27.06 Mn |
| Aug 31, 2025 | 24.20 Mn |
| May 31, 2025 | 23.39 Mn |
| Feb 28, 2025 | 23.27 Mn |
| Nov 30, 2024 | 20.25 Mn |
| Aug 31, 2024 | 5.11 Mn |
| May 31, 2024 | 18.39 Mn |
| Feb 29, 2024 | 20.18 Mn |
| Nov 30, 2023 | 19.31 Mn |
| Aug 31, 2023 | 4.40 Mn |
| May 31, 2023 | 17.35 Mn |
| Feb 28, 2023 | 18.53 Mn |
| Nov 30, 2022 | 17.36 Mn |
| Aug 31, 2022 | 4.71 Mn |
| May 31, 2022 | 16.23 Mn |
| Feb 28, 2022 | 16.11 Mn |
| Nov 30, 2021 | 16.16 Mn |
| Aug 31, 2021 | 3.25 Mn |
API Access
Franklin Covey Prepaid Assets 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=prepaid-assets&ticker=FC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=FC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();