Fastenal (FAST) Return on Sales [ROS] (2009 - 2026)
Fastenal's Return on Sales [ROS] came in at 21.02% for Q2 2026, up 0.06 percentage points from 20.96% a year earlier and up 0.69 percentage points from the prior quarter.
Fastenal (FAST) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Fastenal reported Return on Sales [ROS] of 20.29%, up 0.19 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 Q2 2026 figure represents the highest quarterly Return on Sales [ROS] since Q1 2023.
- Year-over-year, Return on Sales [ROS] has increased for five consecutive quarters, with an average year-over-year change of -0.11 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 20.33% (Q1 2026), 18.96% (Q4 2025) and 20.70% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.80 Bn | 65.56 Bn | 1.73 Bn | 25.80% |
| 2 | W.W. Grainger | 62.12 Bn | 59.71 Bn | 1.98 Bn | 16.07% |
| 3 | Fastenal | 58.79 Bn | 57.71 Bn | 1.06 Bn | 21.02% |
| 4 | Ferguson Enterprises | 43.43 Bn | 40.65 Bn | 2.32 Bn | 8.19% |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn | 22.18% |
| 6 | Reliance | 20.59 Bn | 19.62 Bn | 1.30 Bn | 9.54% |
| 7 | Wesco International | 17.82 Bn | 15.14 Bn | 1.46 Bn | 5.73% |
| 8 | Applied Industrial Technologies | 12.47 Bn | 12.35 Bn | 411.22 Mn | 11.78% |
| 9 | Watsco | 11.07 Bn | 8.75 Bn | 578.93 Mn | 11.32% |
| 10 | Avantor | 10.55 Bn | 9.35 Bn | 537.00 Mn | 7.20% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 20.49% |
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();