Fastenal (FAST) Long-Term Debt Repayments (2015 - 2026)
Fastenal's Long-Term Debt Repayments came in at $365 million for Q2 2026, down 25.5% from $490 million a year earlier but up 676.6% from the prior quarter.
Fastenal (FAST) Long-Term Debt Repayments (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Fastenal reported Long-Term Debt Repayments of $947 million, down 11.5% year-over-year; for FY2025, it came in at $1.18 billion, up 41.3% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $835 million in FY2024 (-28.9%), $1.18 billion in FY2023 (-27.9%), $1.63 billion in FY2022 (+201.9%) and $540 million in FY2021 (-42.6%).
- The five-year range for quarterly Long-Term Debt Repayments is $47 million (Q1 2026) to $645 million (Q3 2022).
- Year-over-year, Long-Term Debt Repayments has declined for three consecutive quarters, with growth averaging 28.1% over the last eight quarters.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q2 2022 (growth of 481.8%), and the weakest in Q4 2023 (a decline of 77.8%).
- Business Quant data shows FAST's Long-Term Debt Repayments at $47 million (Q1 2026), $135 million (Q4 2025) and $400 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.80 Bn | 65.56 Bn | 1.73 Bn | 2.15 Bn |
| 2 | W.W. Grainger | 62.12 Bn | 59.71 Bn | 1.98 Bn | 3.00 Mn |
| 3 | Fastenal | 58.79 Bn | 57.71 Bn | 1.06 Bn | 365.00 Mn |
| 4 | Ferguson Enterprises | 43.43 Bn | 40.65 Bn | 2.32 Bn | - |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn | 1.21 Bn |
| 6 | Reliance | 20.59 Bn | 19.62 Bn | 1.30 Bn | 682.00 Mn |
| 7 | Wesco International | 17.82 Bn | 15.14 Bn | 1.46 Bn | 2.80 Bn |
| 8 | Applied Industrial Technologies | 12.47 Bn | 12.35 Bn | 411.22 Mn | -3,000.00 |
| 9 | Watsco | 11.07 Bn | 8.75 Bn | 578.93 Mn | 1.18 Mn |
| 10 | Avantor | 10.55 Bn | 9.35 Bn | 537.00 Mn | 112.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 365.00 Mn |
| Mar 31, 2026 | 47.00 Mn |
| Dec 31, 2025 | 135.00 Mn |
| Sep 30, 2025 | 400.00 Mn |
| Jun 30, 2025 | 490.00 Mn |
| Mar 31, 2025 | 155.00 Mn |
| Dec 31, 2024 | 225.00 Mn |
| Sep 30, 2024 | 200.00 Mn |
| Jun 30, 2024 | 190.00 Mn |
| Mar 31, 2024 | 220.00 Mn |
| Dec 31, 2023 | 90.00 Mn |
| Sep 30, 2023 | 245.00 Mn |
| Jun 30, 2023 | 455.00 Mn |
| Mar 31, 2023 | 385.00 Mn |
| Dec 31, 2022 | 405.00 Mn |
| Sep 30, 2022 | 645.00 Mn |
| Jun 30, 2022 | 320.00 Mn |
| Mar 31, 2022 | 260.00 Mn |
| Dec 31, 2021 | 200.00 Mn |
| Sep 30, 2021 | 175.00 Mn |
Fastenal Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=FAST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=FAST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();