Franklin Covey (FC) Amortization - Intangibles (2010 - 2026)
Franklin Covey's Amortization - Intangibles came in at $614,000 for fiscal Q3 2026 (quarter ended May 31, 2026), down 44.1% from $1.1 million a year earlier and down 8.4% from the prior quarter.
Franklin Covey (FC) Amortization - Intangibles (2010 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Franklin Covey reported Amortization - Intangibles of $3.07 million, down 29.3% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $4.39 million, up 3.4% from FY2024.
- Amortization - Intangibles carries a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- Going back by fiscal year, Amortization - Intangibles was $4.25 million in FY2024 (-2.2%), $4.34 million in FY2023 (-17.5%), $5.27 million in FY2022 (+5.2%) and $5.01 million in FY2021 (+8.7%).
- The fiscal Q3 2026 figure represents the lowest quarterly Amortization - Intangibles in data going back to fiscal Q1 2011.
- Year-over-year, Amortization - Intangibles has declined for three consecutive quarters, with an average decline of 13.7% over the last eight quarters.
- The fastest year-over-year change in Amortization - Intangibles over five years came in fiscal Q4 2021 (growth of 36.4%), and the weakest in fiscal Q3 2026 (a decline of 44.1%).
- Business Quant data shows FC's Amortization - Intangibles at $670,000 (Q2 2026), $687,000 (Q1 2026) and $1.1 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - |
| 10 | Franklin Covey | 193.35 Mn | 118.44 Mn | 50.10 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 614,000.00 |
| Feb 28, 2026 | 670,000.00 |
| Nov 30, 2025 | 687,000.00 |
| Aug 31, 2025 | 1.10 Mn |
| May 31, 2025 | 1.10 Mn |
| Feb 28, 2025 | 1.10 Mn |
| Nov 30, 2024 | 1.10 Mn |
| Aug 31, 2024 | 1.04 Mn |
| May 31, 2024 | 1.06 Mn |
| Feb 29, 2024 | 1.07 Mn |
| Nov 30, 2023 | 1.07 Mn |
| Aug 31, 2023 | 1.07 Mn |
| May 31, 2023 | 1.09 Mn |
| Feb 28, 2023 | 1.09 Mn |
| Nov 30, 2022 | 1.09 Mn |
| Aug 31, 2022 | 1.16 Mn |
| May 31, 2022 | 1.33 Mn |
| Feb 28, 2022 | 1.35 Mn |
| Nov 30, 2021 | 1.43 Mn |
| Aug 31, 2021 | 1.50 Mn |
Franklin Covey Amortization - Intangibles 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=amortization-intangibles&ticker=FC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=FC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();