Franklin Covey (FC) Amortizatization of Intangibles (2010 - 2026)
Franklin Covey (FC) posted Amortizatization of Intangibles of $1.56 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 42.3% from $1.1 million a year earlier and up 17.9% from the prior quarter.
Franklin Covey (FC) Amortizatization of Intangibles (2010 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, Amortizatization of Intangibles at Franklin Covey was $5.25 million, up 28.0% year-over-year; for FY2025 (ended Aug 31, 2025), it was $4.44 million, up 40.0% from FY2024.
- Annual Amortizatization of Intangibles shows a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- In prior fiscal years, Franklin Covey's Amortizatization of Intangibles was $3.17 million in FY2024 (+2.9%), $3.08 million in FY2023 (-8.1%), $3.35 million in FY2022 (-2.6%) and $3.45 million in FY2021 (-12.8%).
- The fiscal Q3 2026 figure stands as the highest quarterly Amortizatization of Intangibles in data going back to fiscal Q1 2011.
- On a year-over-year basis, Amortizatization of Intangibles has increased in each of the last ten quarters, with growth averaging 31.8% over the last eight quarters.
- The strongest year-over-year quarter for Amortizatization of Intangibles in the past five years was fiscal Q1 2025, with growth of 49.5%; the weakest was fiscal Q4 2023, with a decline of 28.7%.
- According to Business Quant data, Amortizatization of Intangibles for the three prior fiscal quarters was $1.33 million (Q2 2026), $1.19 million (Q1 2026) and $1.17 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | - |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 49.14 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 86.61 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 68.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | - |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | - |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | - |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Franklin Covey | 195.27 Mn | 120.36 Mn | 50.10 Mn | 1.56 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.56 Mn |
| Feb 28, 2026 | 1.33 Mn |
| Nov 30, 2025 | 1.19 Mn |
| Aug 31, 2025 | 1.17 Mn |
| May 31, 2025 | 1.10 Mn |
| Feb 28, 2025 | 1.14 Mn |
| Nov 30, 2024 | 1.03 Mn |
| Aug 31, 2024 | 832,000.00 |
| May 31, 2024 | 839,000.00 |
| Feb 29, 2024 | 810,000.00 |
| Nov 30, 2023 | 691,000.00 |
| Aug 31, 2023 | 699,000.00 |
| May 31, 2023 | 737,000.00 |
| Feb 28, 2023 | 805,000.00 |
| Nov 30, 2022 | 843,000.00 |
| Aug 31, 2022 | 980,000.00 |
| May 31, 2022 | 754,000.00 |
| Feb 28, 2022 | 831,000.00 |
| Nov 30, 2021 | 789,000.00 |
| Aug 31, 2021 | 862,000.00 |
Franklin Covey Amortizatization of 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=amortizatization-of-intangibles&ticker=FC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=FC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();