Franklin Covey (FC) Capital Expenditures (2010 - 2026)
Franklin Covey (FC) recorded Capital Expenditures of $1.16 million in fiscal Q3 2026 (quarter ended May 31, 2026), down 35.0% from $1.78 million a year earlier but up 11.7% from the prior quarter.
Franklin Covey (FC) Capital Expenditures (2010 - 2026) Analysis & Trends
On a TTM basis, Franklin Covey's Capital Expenditures came in at $8.12 million as of May 31, 2026, up 58.5% year-over-year; for FY2025 (ended Aug 31, 2025), it was $8.25 million, up 123.4% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of 14.6% (FY2020 to FY2025).
- Across earlier fiscal years, Capital Expenditures came in at $3.69 million in FY2024 (-18.2%), $4.52 million in FY2023 (+42.1%), $3.18 million in FY2022 (+98.3%) and $1.6 million in FY2021 (-61.7%).
- Quarterly Capital Expenditures has ranged from $417,000 in fiscal Q4 2021 to $4.2 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Capital Expenditures rose in five of the last eight quarters, with growth averaging 63.6%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 290.6% in fiscal Q4 2025, against a decline of 54.1% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.04 million (Q2 2026), $1.73 million (Q1 2026) and $4.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 186.22 Mn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 96.00 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 588.19 Mn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 31.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 6.43 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 112.37 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 69.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 19.92 Mn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Franklin Covey | 191.66 Mn | 116.75 Mn | 50.10 Mn | 1.16 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.16 Mn |
| Feb 28, 2026 | 1.04 Mn |
| Nov 30, 2025 | 1.73 Mn |
| Aug 31, 2025 | 4.20 Mn |
| May 31, 2025 | 1.78 Mn |
| Feb 28, 2025 | 1.27 Mn |
| Nov 30, 2024 | 998,000.00 |
| Aug 31, 2024 | 1.08 Mn |
| May 31, 2024 | 902,000.00 |
| Feb 29, 2024 | 644,000.00 |
| Nov 30, 2023 | 1.07 Mn |
| Aug 31, 2023 | 970,000.00 |
| May 31, 2023 | 901,000.00 |
| Feb 28, 2023 | 1.40 Mn |
| Nov 30, 2022 | 1.24 Mn |
| Aug 31, 2022 | 1.10 Mn |
| May 31, 2022 | 816,000.00 |
| Feb 28, 2022 | 744,000.00 |
| Nov 30, 2021 | 520,000.00 |
| Aug 31, 2021 | 417,000.00 |
Franklin Covey Capital Expenditures 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=capital-expenditures&ticker=FC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=FC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();