Franklin Covey (FC) Other Non-Current Liabilities (2011 - 2026)
Franklin Covey's Other Non-Current Liabilities came in at $10.92 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 31.5% from $15.94 million a year earlier and down 6.6% from the prior quarter.
Franklin Covey (FC) Other Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Franklin Covey's Other Non-Current Liabilities was $14.72 million, up 37.1% from FY2024.
- Other Non-Current Liabilities has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- Going back by fiscal year, Other Non-Current Liabilities was $10.73 million in FY2024 (+40.9%), $7.62 million in FY2023 (+7.0%), $7.12 million in FY2022 (-18.6%) and $8.74 million in FY2021 (-4.1%).
- The fiscal Q3 2026 figure represents the lowest quarterly Other Non-Current Liabilities since fiscal Q2 2025.
- Year-over-year, Other Non-Current Liabilities increased in seven of the last eight quarters, with growth averaging 32.5%.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in fiscal Q3 2025 (growth of 97.4%), and the weakest in fiscal Q3 2026 (a decline of 31.5%).
- Business Quant data shows FC's Other Non-Current Liabilities at $11.7 million (Q2 2026), $13.42 million (Q1 2026) and $14.72 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 | 10.92 Mn |
| Feb 28, 2026 | 11.70 Mn |
| Nov 30, 2025 | 13.42 Mn |
| Aug 31, 2025 | 14.72 Mn |
| May 31, 2025 | 15.94 Mn |
| Feb 28, 2025 | 9.64 Mn |
| Nov 30, 2024 | 10.71 Mn |
| Aug 31, 2024 | 10.73 Mn |
| May 31, 2024 | 8.08 Mn |
| Feb 29, 2024 | 7.49 Mn |
| Nov 30, 2023 | 7.59 Mn |
| Aug 31, 2023 | 7.62 Mn |
| May 31, 2023 | 6.50 Mn |
| Feb 28, 2023 | 6.42 Mn |
| Nov 30, 2022 | 6.79 Mn |
| Aug 31, 2022 | 7.12 Mn |
| May 31, 2022 | 6.91 Mn |
| Feb 28, 2022 | 7.07 Mn |
| Nov 30, 2021 | 7.94 Mn |
| Aug 31, 2021 | 8.74 Mn |
Franklin Covey Other Non-Current 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=other-non-current-liabilities&ticker=FC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=FC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();