Franklin Covey (FC) Total Liabilities (2011 - 2026)
Franklin Covey (FC) posted Total Liabilities of $155.07 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 1.6% from $152.71 million a year earlier but down 7.9% from the prior quarter.
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Analysis
Franklin Covey (FC) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Franklin Covey's Total Liabilities came in at $176 million, down 1.3% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- In prior fiscal years, Franklin Covey's Total Liabilities was $178.4 million in FY2024 (+6.7%), $167.27 million in FY2023 (-5.1%), $176.34 million in FY2022 (+3.9%) and $169.79 million in FY2021 (+16.3%).
- Quarterly Total Liabilities has run from a low of $142.72 million in fiscal Q2 2023 to a high of $178.4 million in fiscal Q4 2024 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last three quarters, with growth averaging 4.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q4 2021, with growth of 16.3%; the weakest was fiscal Q3 2023, with a decline of 6.7%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $168.44 million (Q2 2026), $167.25 million (Q1 2026) and $176 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 5.39 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 1.93 Bn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 10.58 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 1.50 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Franklin Covey | 191.66 Mn | 116.75 Mn | 50.10 Mn | 155.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 155.07 Mn |
| Feb 28, 2026 | 168.44 Mn |
| Nov 30, 2025 | 167.25 Mn |
| Aug 31, 2025 | 176.00 Mn |
| May 31, 2025 | 152.71 Mn |
| Feb 28, 2025 | 148.81 Mn |
| Nov 30, 2024 | 159.26 Mn |
| Aug 31, 2024 | 178.40 Mn |
| May 31, 2024 | 148.81 Mn |
| Feb 29, 2024 | 151.11 Mn |
| Nov 30, 2023 | 148.32 Mn |
| Aug 31, 2023 | 167.27 Mn |
| May 31, 2023 | 143.22 Mn |
| Feb 28, 2023 | 142.72 Mn |
| Nov 30, 2022 | 147.81 Mn |
| Aug 31, 2022 | 176.34 Mn |
| May 31, 2022 | 153.45 Mn |
| Feb 28, 2022 | 147.34 Mn |
| Nov 30, 2021 | 148.62 Mn |
| Aug 31, 2021 | 169.79 Mn |
API Access
Franklin Covey Total Liabilities 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=total-liabilities&ticker=FC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();