Franklin Covey (FC) Selling, General & Administrative (2010 - 2026)
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Analysis
Franklin Covey (FC) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 156.49 Bn | 114.42 Bn | 5.98 Bn | 1.31 Bn |
| 2 | Cintas | 89.36 Bn | 88.45 Bn | 1.55 Bn | 827.24 Mn |
| 3 | Iron Mountain | 33.13 Bn | 32.33 Bn | 1.06 Bn | 348.77 Mn |
| 4 | Rollins | 18.53 Bn | 18.08 Bn | 582.90 Mn | 326.77 Mn |
| 5 | APi | 18.33 Bn | 15.55 Bn | 770.00 Mn | 568.00 Mn |
| 6 | UL Solutions | 16.46 Bn | 14.45 Bn | 423.00 Mn | 260.00 Mn |
| 7 | Aramark | 14.43 Bn | 12.37 Bn | 430.34 Mn | 78.63 Mn |
| 8 | Gartner | 12.19 Bn | 5.67 Bn | 1.07 Bn | 746.84 Mn |
| 9 | Rentokil Initial | 12.05 Bn | 5.56 Bn | - | - |
| 10 | Franklin Covey | 173.74 Mn | 98.83 Mn | 50.10 Mn | 43.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 43.26 Mn |
| Feb 28, 2026 | 43.50 Mn |
| Nov 30, 2025 | 46.12 Mn |
| Aug 31, 2025 | 44.22 Mn |
| May 31, 2025 | 46.23 Mn |
| Feb 28, 2025 | 45.09 Mn |
| Nov 30, 2024 | 47.20 Mn |
| Aug 31, 2024 | 45.85 Mn |
| May 31, 2024 | 45.11 Mn |
| Feb 29, 2024 | 40.77 Mn |
| Nov 30, 2023 | 44.21 Mn |
| Aug 31, 2023 | 45.96 Mn |
| May 31, 2023 | 45.64 Mn |
| Feb 28, 2023 | 42.34 Mn |
| Nov 30, 2022 | 44.01 Mn |
| Aug 31, 2022 | 48.03 Mn |
| May 31, 2022 | 42.64 Mn |
| Feb 28, 2022 | 38.06 Mn |
| Nov 30, 2021 | 39.34 Mn |
| Aug 31, 2021 | 46.17 Mn |
API Access
Franklin Covey Selling, General & Administrative 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=selling-general-and-administrative&ticker=FC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();