Fastenal (FAST) Operating Expenses (2009 - 2026)
Fastenal's Operating Expenses came in at $561.8 million for Q2 2026, up 10.9% from $506.7 million a year earlier and up 5.0% from the prior quarter.
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Analysis
Fastenal (FAST) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Fastenal reported Operating Expenses of $2.14 billion, up 10.1% year-over-year; for FY2025, it was $2.04 billion, up 7.6% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $1.89 billion in FY2024 (+3.6%), $1.83 billion in FY2023 (+3.6%), $1.76 billion in FY2022 (+13.0%) and $1.56 billion in FY2021 (+9.4%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q1 2009.
- Year-over-year, Operating Expenses has increased for 21 consecutive quarters, with growth averaging 7.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 2.1% in Q3 2024 to 19.9% in Q1 2022.
- Business Quant data shows FAST's Operating Expenses at $535.3 million (Q1 2026), $514.4 million (Q4 2025) and $524.3 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.80 Bn | 65.56 Bn | 1.73 Bn | 1.18 Bn |
| 2 | W.W. Grainger | 62.12 Bn | 59.71 Bn | 1.98 Bn | 1.18 Bn |
| 3 | Fastenal | 58.79 Bn | 57.71 Bn | 1.06 Bn | 561.80 Mn |
| 4 | Ferguson Enterprises | 43.43 Bn | 40.65 Bn | 2.32 Bn | 1.61 Bn |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn | 989.00 Mn |
| 6 | Reliance | 20.59 Bn | 19.62 Bn | 1.30 Bn | 4.19 Bn |
| 7 | Wesco International | 17.82 Bn | 15.14 Bn | 1.46 Bn | 1.02 Bn |
| 8 | Applied Industrial Technologies | 12.47 Bn | 12.35 Bn | 411.22 Mn | 251.91 Mn |
| 9 | Watsco | 11.07 Bn | 8.75 Bn | 578.93 Mn | 348.99 Mn |
| 10 | Avantor | 10.55 Bn | 9.35 Bn | 537.00 Mn | 415.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 401.80 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();