Franklin Covey (FC) Receivables (2011 - 2026)
Franklin Covey (FC) posted Receivables of $50.29 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 0.9% from $49.84 million a year earlier and up 0.2% from the prior quarter.
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Analysis
Franklin Covey (FC) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Franklin Covey's Receivables came in at $68.42 million, down 20.4% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- In prior fiscal years, Franklin Covey's Receivables was $86 million in FY2024 (+5.0%), $81.94 million in FY2023 (+10.3%), $74.26 million in FY2022 (+2.5%) and $72.48 million in FY2021 (+24.7%).
- Quarterly Receivables has run from a low of $47.73 million in fiscal Q2 2022 to a high of $86 million in fiscal Q4 2024 over five years.
- On a year-over-year basis, Receivables increased in three of the last eight quarters, with an average decline of 5.7%.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q4 2021, with growth of 24.7%; the weakest was fiscal Q4 2025, with a decline of 20.4%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $50.19 million (Q2 2026), $59.14 million (Q1 2026) and $68.42 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 18.08 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 1.56 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 1.49 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 2.34 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 238.99 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 2.58 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 710.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.20 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | 1.26 Bn |
| 10 | Franklin Covey | 191.66 Mn | 116.75 Mn | 50.10 Mn | 50.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 50.29 Mn |
| Feb 28, 2026 | 50.19 Mn |
| Nov 30, 2025 | 59.14 Mn |
| Aug 31, 2025 | 68.42 Mn |
| May 31, 2025 | 49.84 Mn |
| Feb 28, 2025 | 53.29 Mn |
| Nov 30, 2024 | 61.42 Mn |
| Aug 31, 2024 | 86.00 Mn |
| May 31, 2024 | 60.42 Mn |
| Feb 29, 2024 | 57.15 Mn |
| Nov 30, 2023 | 59.86 Mn |
| Aug 31, 2023 | 81.94 Mn |
| May 31, 2023 | 55.48 Mn |
| Feb 28, 2023 | 53.73 Mn |
| Nov 30, 2022 | 57.35 Mn |
| Aug 31, 2022 | 74.26 Mn |
| May 31, 2022 | 50.43 Mn |
| Feb 28, 2022 | 47.73 Mn |
| Nov 30, 2021 | 51.69 Mn |
| Aug 31, 2021 | 72.48 Mn |
API Access
Franklin Covey Receivables 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=receivables&ticker=FC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=FC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();