Franklin Covey (FC) Depreciation & Amortization - Total (2010 - 2026)
Franklin Covey (FC) recorded Depreciation & Amortization - Total of $1.19 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 17.1% from $1.01 million a year earlier and up 3.9% from the prior quarter.
Franklin Covey (FC) Depreciation & Amortization - Total (2010 - 2026) Analysis & Trends
On a TTM basis, Franklin Covey's Depreciation & Amortization - Total came in at $4.51 million as of May 31, 2026, up 16.0% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $4.07 million, up 4.1% from FY2024.
- Annual Depreciation & Amortization - Total has a five-year compound annual growth rate of -9.4% (FY2020 to FY2025).
- Across earlier fiscal years, Depreciation & Amortization - Total came in at $3.91 million in FY2024 (-8.6%), $4.27 million in FY2023 (-12.9%), $4.9 million in FY2022 (-20.8%) and $6.19 million in FY2021 (-7.1%).
- The fiscal Q3 2026 figure is the highest quarterly Depreciation & Amortization - Total since fiscal Q1 2023.
- On a year-over-year basis, Depreciation & Amortization - Total has increased for six consecutive quarters, with growth averaging 5.6% over the last eight quarters.
- Peak year-over-year performance for Depreciation & Amortization - Total in the last five years was growth of 19.3% in fiscal Q4 2025, against a decline of 31.6% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.14 million (Q2 2026), $1.1 million (Q1 2026) and $1.09 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (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 | 202.85 Mn |
| 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 | 25.15 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Franklin Covey | 193.35 Mn | 118.44 Mn | 50.10 Mn | 1.19 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.19 Mn |
| Feb 28, 2026 | 1.14 Mn |
| Nov 30, 2025 | 1.10 Mn |
| Aug 31, 2025 | 1.09 Mn |
| May 31, 2025 | 1.01 Mn |
| Feb 28, 2025 | 1.02 Mn |
| Nov 30, 2024 | 950,000.00 |
| Aug 31, 2024 | 911,000.00 |
| May 31, 2024 | 990,000.00 |
| Feb 29, 2024 | 913,000.00 |
| Nov 30, 2023 | 1.09 Mn |
| Aug 31, 2023 | 1.14 Mn |
| May 31, 2023 | 934,000.00 |
| Feb 28, 2023 | 951,000.00 |
| Nov 30, 2022 | 1.25 Mn |
| Aug 31, 2022 | 1.22 Mn |
| May 31, 2022 | 1.22 Mn |
| Feb 28, 2022 | 1.19 Mn |
| Nov 30, 2021 | 1.28 Mn |
| Aug 31, 2021 | 1.29 Mn |
Franklin Covey Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=FC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=FC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();