Fastenal (FAST) Return on Sales [ROS] (2009 - 2026)
Fastenal's Return on Sales [ROS] came in at 21.55% for Q3 2026, up 0.85 percentage points from 20.70% a year earlier and up 0.53 percentage points from the prior quarter.
Fastenal (FAST) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Fastenal reported Return on Sales [ROS] of 20.54%, up 0.33 percentage points year-over-year; for FY2025, it was 20.19%, up 0.18 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -0.03 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 20.01% in FY2024 (-0.80 pp), 20.81% in FY2023 (-0.02 pp), 20.82% in FY2022 (+0.57 pp) and 20.25% in FY2021 (+0.03 pp).
- The Q3 2026 figure represents the highest quarterly Return on Sales [ROS] since Q2 2022.
- Year-over-year, Return on Sales [ROS] has increased for six consecutive quarters, with an average year-over-year change of +0.08 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2022 (a gain of 1.23 percentage points), and the weakest in Q4 2024 (a drop of 1.22 percentage points).
- Business Quant data shows FAST's Return on Sales [ROS] at 21.02% (Q2 2026), 20.33% (Q1 2026) and 18.96% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 67.67 Bn | 65.03 Bn | 2.01 Bn | 15.98% |
| 2 | United Rentals | 65.48 Bn | 64.60 Bn | 2.05 Bn | 28.80% |
| 3 | Fastenal | 60.80 Bn | 59.80 Bn | 1.10 Bn | 21.55% |
| 4 | Ferguson Enterprises | 45.51 Bn | 42.73 Bn | 2.32 Bn | 8.19% |
| 5 | Sunbelt Rentals Holdings | 31.50 Bn | 31.38 Bn | 1.25 Bn | 22.18% |
| 6 | Reliance | 21.26 Bn | 20.31 Bn | 1.45 Bn | 10.59% |
| 7 | Wesco International | 14.25 Bn | 11.29 Bn | 1.57 Bn | 6.24% |
| 8 | Watsco | 11.59 Bn | 9.28 Bn | 578.93 Mn | 11.32% |
| 9 | Avantor | 10.49 Bn | 9.07 Bn | 534.80 Mn | 8.21% |
| 10 | Applied Industrial Technologies | 10.39 Bn | 10.28 Bn | 392.21 Mn | 11.12% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 21.55% |
| Jun 30, 2026 | 21.02% |
| Mar 31, 2026 | 20.33% |
| Dec 31, 2025 | 18.96% |
| Sep 30, 2025 | 20.70% |
| Jun 30, 2025 | 20.96% |
| Mar 31, 2025 | 20.10% |
| Dec 31, 2024 | 18.90% |
| Sep 30, 2024 | 20.32% |
| Jun 30, 2024 | 20.19% |
| Mar 31, 2024 | 20.59% |
| Dec 31, 2023 | 20.12% |
| Sep 30, 2023 | 20.95% |
| Jun 30, 2023 | 20.97% |
| Mar 31, 2023 | 21.15% |
| Dec 31, 2022 | 19.63% |
| Sep 30, 2022 | 21.04% |
| Jun 30, 2022 | 21.56% |
| Mar 31, 2022 | 21.01% |
| Dec 31, 2021 | 19.64% |
Fastenal Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=FAST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=FAST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();