Fastenal (FAST) Operating Expenses (2009 - 2026)
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Analysis
Fastenal (FAST) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 73.34 Bn | 72.46 Bn | 2.05 Bn | 1.27 Bn |
| 2 | W.W. Grainger | 65.22 Bn | 62.82 Bn | 1.98 Bn | 1.18 Bn |
| 3 | Fastenal | 60.31 Bn | 59.31 Bn | 1.10 Bn | 573.90 Mn |
| 4 | Ferguson Enterprises | 46.98 Bn | 44.19 Bn | 2.32 Bn | 1.61 Bn |
| 5 | Sunbelt Rentals Holdings | 34.35 Bn | 34.23 Bn | 1.25 Bn | 989.00 Mn |
| 6 | Reliance | 22.84 Bn | 21.89 Bn | 1.45 Bn | 4.66 Bn |
| 7 | Wesco International | 16.33 Bn | 13.38 Bn | 1.57 Bn | 1.06 Bn |
| 8 | Watsco | 12.05 Bn | 12.05 Bn | 586.29 Mn | - |
| 9 | Applied Industrial Technologies | 10.95 Bn | 10.83 Bn | 392.21 Mn | 248.62 Mn |
| 10 | Avantor | 10.57 Bn | 9.16 Bn | 534.80 Mn | 395.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 573.90 Mn |
| Jun 30, 2026 | 561.80 Mn |
| Mar 31, 2026 | 535.30 Mn |
| Dec 31, 2025 | 514.40 Mn |
| Sep 30, 2025 | 524.30 Mn |
| Jun 30, 2025 | 506.70 Mn |
| Mar 31, 2025 | 490.00 Mn |
| Dec 31, 2024 | 473.40 Mn |
| Sep 30, 2024 | 470.50 Mn |
| Jun 30, 2024 | 476.60 Mn |
| Mar 31, 2024 | 471.40 Mn |
| Dec 31, 2023 | 445.60 Mn |
| Sep 30, 2023 | 460.90 Mn |
| Jun 30, 2023 | 462.60 Mn |
| Mar 31, 2023 | 456.80 Mn |
| Dec 31, 2022 | 435.50 Mn |
| Sep 30, 2022 | 447.30 Mn |
| Jun 30, 2022 | 444.20 Mn |
| Mar 31, 2022 | 435.30 Mn |
| Dec 31, 2021 | 412.00 Mn |
API Access
Fastenal 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=FAST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FAST", "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=FAST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();