Fastenal (FAST) Change in Accured Expenses (2009 - 2026)
Fastenal's Change in Accured Expenses came in at $45.7 million for Q2 2026, up 17.5% from $38.9 million a year earlier.
Fastenal (FAST) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Fastenal reported Change in Accured Expenses of $31.9 million, down 11.6% year-over-year; for FY2025, it came in at $33.3 million.
- Change in Accured Expenses carries a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was -$16.5 million in FY2024, -$600,000 in FY2023, -$57.2 million in FY2022 and $26.2 million in FY2021 (+27.2%).
- The Q2 2026 figure represents the highest quarterly Change in Accured Expenses in data going back to Q1 2009.
- Year-over-year, Change in Accured Expenses increased in three of the last four quarters, with growth averaging 79.5%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q2 2025 (growth of 313.8%), and the weakest in Q3 2021 (a decline of 99.5%).
- Business Quant data shows FAST's Change in Accured Expenses at -$17.1 million (Q1 2026), -$2.1 million (Q4 2025) and $5.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn | 150.00 Mn |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn | 26.00 Mn |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn | 45.70 Mn |
| 4 | Ferguson Enterprises | 43.34 Bn | 40.56 Bn | 2.32 Bn | 543.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn | 93.00 Mn |
| 6 | Reliance | 20.43 Bn | 19.48 Bn | 1.30 Bn | 99.70 Mn |
| 7 | Wesco International | 18.60 Bn | 15.91 Bn | 1.46 Bn | 61.30 Mn |
| 8 | Applied Industrial Technologies | 12.64 Bn | 12.52 Bn | 411.22 Mn | - |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn | 104.46 Mn |
| 10 | Avantor | 10.38 Bn | 9.17 Bn | 537.00 Mn | 14.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.70 Mn |
| Mar 31, 2026 | -17.10 Mn |
| Dec 31, 2025 | -2.10 Mn |
| Sep 30, 2025 | 5.40 Mn |
| Jun 30, 2025 | 38.90 Mn |
| Mar 31, 2025 | -8.80 Mn |
| Dec 31, 2024 | -1.70 Mn |
| Sep 30, 2024 | 7.70 Mn |
| Jun 30, 2024 | 9.40 Mn |
| Mar 31, 2024 | -31.90 Mn |
| Dec 31, 2023 | 4.10 Mn |
| Sep 30, 2023 | 6.60 Mn |
| Jun 30, 2023 | 600,000.00 |
| Mar 31, 2023 | -11.90 Mn |
| Dec 31, 2022 | -41.30 Mn |
| Sep 30, 2022 | 13.70 Mn |
| Jun 30, 2022 | 500,000.00 |
| Mar 31, 2022 | -30.10 Mn |
| Dec 31, 2021 | 20.30 Mn |
| Sep 30, 2021 | 100,000.00 |
Fastenal Change in Accured 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=change-in-accured-expenses&ticker=FAST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=FAST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();