Franklin Covey (FC) Total Non-Current Liabilities (2011 - 2026)
Franklin Covey (FC) recorded Total Non-Current Liabilities of $144.15 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 5.4% from $136.77 million a year earlier but down 8.0% from the prior quarter.
Franklin Covey (FC) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Franklin Covey reported Total Non-Current Liabilities of $161.28 million, down 3.8% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $167.67 million in FY2024 (+5.0%), $159.65 million in FY2023 (-5.7%), $169.23 million in FY2022 (+5.1%) and $161.05 million in FY2021 (+17.7%).
- Quarterly Total Non-Current Liabilities has ranged from $136.31 million in fiscal Q2 2023 to $169.23 million in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 2.8% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 17.7% in fiscal Q4 2021, against a decline of 6.7% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $156.74 million (Q2 2026), $153.83 million (Q1 2026) and $161.28 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 2.70 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 22.86 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 6.29 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 1.79 Bn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 9.92 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 1.41 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 6.90 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | -6.00 Mn |
| 10 | Franklin Covey | 191.66 Mn | 116.75 Mn | 50.10 Mn | 144.15 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 144.15 Mn |
| Feb 28, 2026 | 156.74 Mn |
| Nov 30, 2025 | 153.83 Mn |
| Aug 31, 2025 | 161.28 Mn |
| May 31, 2025 | 136.77 Mn |
| Feb 28, 2025 | 139.18 Mn |
| Nov 30, 2024 | 148.55 Mn |
| Aug 31, 2024 | 167.67 Mn |
| May 31, 2024 | 140.73 Mn |
| Feb 29, 2024 | 143.61 Mn |
| Nov 30, 2023 | 140.73 Mn |
| Aug 31, 2023 | 159.65 Mn |
| May 31, 2023 | 136.71 Mn |
| Feb 28, 2023 | 136.31 Mn |
| Nov 30, 2022 | 141.02 Mn |
| Aug 31, 2022 | 169.23 Mn |
| May 31, 2022 | 146.54 Mn |
| Feb 28, 2022 | 140.27 Mn |
| Nov 30, 2021 | 140.68 Mn |
| Aug 31, 2021 | 161.05 Mn |
Franklin Covey Total 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=total-non-current-liabilities&ticker=FC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=FC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();