Franklin Covey (FC) Non-Current Assets (2011 - 2026)
Franklin Covey's Non-Current Assets came in at $106.2 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 1.0% from $107.28 million a year earlier and down 4.4% from the prior quarter.
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Analysis
Franklin Covey (FC) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Franklin Covey's Non-Current Assets was $113.44 million, up 12.0% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- Going back by fiscal year, Non-Current Assets was $101.29 million in FY2024 (+0.4%), $100.9 million in FY2023 (-2.3%), $103.27 million in FY2022 (-8.6%) and $112.95 million in FY2021 (+8.8%).
- The fiscal Q3 2026 figure represents the lowest quarterly Non-Current Assets since fiscal Q2 2025.
- Year-over-year, Non-Current Assets increased in six of the last eight quarters, with growth averaging 5.0%.
- The fastest year-over-year change in Non-Current Assets over five years came in fiscal Q4 2025 (growth of 12.0%), and the weakest in fiscal Q4 2022 (a decline of 8.6%).
- Business Quant data shows FC's Non-Current Assets at $111.06 million (Q2 2026), $112.24 million (Q1 2026) and $113.44 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 39.87 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 6.68 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 19.85 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 6.42 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 2.76 Bn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 10.12 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 1.89 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 3.97 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | 10.46 Bn |
| 10 | Franklin Covey | 191.66 Mn | 116.75 Mn | 50.10 Mn | 106.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 106.20 Mn |
| Feb 28, 2026 | 111.06 Mn |
| Nov 30, 2025 | 112.24 Mn |
| Aug 31, 2025 | 113.44 Mn |
| May 31, 2025 | 107.28 Mn |
| Feb 28, 2025 | 100.30 Mn |
| Nov 30, 2024 | 101.12 Mn |
| Aug 31, 2024 | 101.29 Mn |
| May 31, 2024 | 100.94 Mn |
| Feb 29, 2024 | 99.50 Mn |
| Nov 30, 2023 | 101.58 Mn |
| Aug 31, 2023 | 100.90 Mn |
| May 31, 2023 | 100.99 Mn |
| Feb 28, 2023 | 103.24 Mn |
| Nov 30, 2022 | 101.08 Mn |
| Aug 31, 2022 | 103.27 Mn |
| May 31, 2022 | 106.31 Mn |
| Feb 28, 2022 | 106.10 Mn |
| Nov 30, 2021 | 108.98 Mn |
| Aug 31, 2021 | 112.95 Mn |
API Access
Franklin Covey Non-Current 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=non-current-assets&ticker=FC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=FC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();