Fastenal (FAST) Accumulated Expenses (2009 - 2026)
Fastenal (FAST) recorded Accumulated Expenses of $335.5 million in Q3 2026, up 28.5% from $261.1 million a year earlier and up 16.2% from the prior quarter.
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Analysis
Fastenal (FAST) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Fastenal reported Accumulated Expenses of $264.7 million, up 17.3% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $225.6 million in FY2024 (-6.4%), $241 million in FY2023 (unchanged), $241.1 million in FY2022 (-19.2%) and $298.3 million in FY2021 (+9.6%).
- The Q3 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q2 2009.
- On a year-over-year basis, Accumulated Expenses has increased for seven consecutive quarters, with growth averaging 12.8% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 28.5% in Q3 2026, against a decline of 19.2% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $288.7 million (Q2 2026), $242.6 million (Q1 2026) and $264.7 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | United Rentals | 68.92 Bn | 68.04 Bn | 2.05 Bn |
| 2 | W.W. Grainger | 64.06 Bn | 62.04 Bn | 1.98 Bn |
| 3 | Fastenal | 60.50 Bn | 59.49 Bn | 1.10 Bn |
| 4 | Ferguson Enterprises | 44.11 Bn | 41.32 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 32.31 Bn | 32.19 Bn | 1.25 Bn |
| 6 | Reliance | 21.38 Bn | 20.42 Bn | 1.30 Bn |
| 7 | Wesco International | 15.77 Bn | 13.08 Bn | 1.46 Bn |
| 8 | Applied Industrial Technologies | 11.75 Bn | 11.63 Bn | 411.22 Mn |
| 9 | Watsco | 11.64 Bn | 9.81 Bn | 578.93 Mn |
| 10 | Avantor | 11.60 Bn | 10.40 Bn | 537.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 335.50 Mn |
| Jun 30, 2026 | 288.70 Mn |
| Mar 31, 2026 | 242.60 Mn |
| Dec 31, 2025 | 264.70 Mn |
| Sep 30, 2025 | 261.10 Mn |
| Jun 30, 2025 | 257.10 Mn |
| Mar 31, 2025 | 215.70 Mn |
| Dec 31, 2024 | 225.60 Mn |
| Sep 30, 2024 | 225.70 Mn |
| Jun 30, 2024 | 216.20 Mn |
| Mar 31, 2024 | 207.50 Mn |
| Dec 31, 2023 | 241.00 Mn |
| Sep 30, 2023 | 235.80 Mn |
| Jun 30, 2023 | 229.50 Mn |
| Mar 31, 2023 | 229.20 Mn |
| Dec 31, 2022 | 241.10 Mn |
| Sep 30, 2022 | 282.40 Mn |
| Jun 30, 2022 | 268.70 Mn |
| Mar 31, 2022 | 268.20 Mn |
| Dec 31, 2021 | 298.30 Mn |
API Access
Fastenal Accumulated 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=accumulated-expenses&ticker=FAST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=FAST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();