Franklin Covey (FC) Operating Expenses (2010 - 2026)
Franklin Covey (FC) reported Operating Expenses of $45.14 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 13.2% from $51.98 million a year earlier and down 2.2% from the prior quarter.
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Analysis
Franklin Covey (FC) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Franklin Covey's Operating Expenses came in at $187.21 million, down 4.0% year-over-year; for FY2025 (ended Aug 31, 2025), it was $193.47 million, up 5.8% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 6.9% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $182.85 million in FY2024 (unchanged), $182.79 million in FY2023 (+5.7%), $172.97 million in FY2022 (+8.0%) and $160.1 million in FY2021 (+15.8%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Operating Expenses since fiscal Q2 2024.
- Year over year, Operating Expenses gained in five of the last eight quarters, with growth averaging 1.3%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2021 (growth of 55.6%); the low point was fiscal Q3 2026 (a decline of 13.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $46.15 million (Q2 2026), $50.62 million (Q1 2026) and $45.3 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Franklin Covey | 191.66 Mn | 116.75 Mn | 50.10 Mn | 45.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 45.14 Mn |
| Feb 28, 2026 | 46.15 Mn |
| Nov 30, 2025 | 50.62 Mn |
| Aug 31, 2025 | 45.30 Mn |
| May 31, 2025 | 51.98 Mn |
| Feb 28, 2025 | 46.10 Mn |
| Nov 30, 2024 | 50.14 Mn |
| Aug 31, 2024 | 46.76 Mn |
| May 31, 2024 | 46.80 Mn |
| Feb 29, 2024 | 43.41 Mn |
| Nov 30, 2023 | 45.90 Mn |
| Aug 31, 2023 | 47.10 Mn |
| May 31, 2023 | 46.58 Mn |
| Feb 28, 2023 | 43.29 Mn |
| Nov 30, 2022 | 45.26 Mn |
| Aug 31, 2022 | 49.24 Mn |
| May 31, 2022 | 43.85 Mn |
| Feb 28, 2022 | 39.25 Mn |
| Nov 30, 2021 | 40.62 Mn |
| Aug 31, 2021 | 47.45 Mn |
API Access
Franklin Covey Operating Expenses 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=operating-expenses&ticker=FC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();