Fastenal (FAST) Price to Earnings (2009 - 2026)
Fastenal's (FAST) quarterly Price to Earnings came in at 143.98 in Q2 2026, down 1.34% on a YoY basis from 145.93 in Q2 2025, and down 8.18% quarter-over-quarter from 156.81 in Q1 2026.
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Analysis
Fastenal (FAST) Price to Earnings (2009 - 2026) Analysis & Trends
Fastenal (FAST) has reported Price to Earnings for 18 consecutive years, with 143.98 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings fell 1.34% year-over-year to 143.98; the trailing twelve-month figure through Jun 2026 stood at 40.76 (up 0.58% YoY), and the FY2025 full-year result was 36.61, up 2.16% from the prior year.
- Price to Earnings fell to 143.98 in Q2 2026 per FAST's latest filing, from 156.81 in the prior quarter.
- Across five years, Price to Earnings topped out at 167.81 in Q3 2025 and bottomed at 92.66 in Q3 2022.
- Historically, Price to Earnings has averaged 132.09 across 5 years, with a median of 138.15 in 2024.
- The sharpest annual moves came in 2022 and 2024: Price to Earnings slumped 31.03% in 2022, then surged 42.13% in 2024.
- Over 5 years, Price to Earnings stood at 109.98 in 2022, then grew by 26.43% to 139.04 in 2023, then rose by 13.14% to 157.32 in 2024, then decreased by 0.39% to 156.71 in 2025, then slipped by 8.12% to 143.98 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 143.98, 156.81, and 156.71 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | W.W. Grainger | 59.74 Bn | 59.53 Bn | 1.98 Bn |
| 2 | Fastenal | 57.47 Bn | 57.26 Bn | 1.06 Bn |
| 3 | Ferguson Enterprises | 42.93 Bn | 42.11 Bn | 2.32 Bn |
| 4 | Sunbelt Rentals Holdings | 31.01 Bn | 30.98 Bn | 1.25 Bn |
| 5 | Reliance | 19.76 Bn | 19.53 Bn | 1.30 Bn |
| 6 | Wesco International | 17.65 Bn | 16.83 Bn | 1.46 Bn |
| 7 | Applied Industrial Technologies | 12.14 Bn | 12.02 Bn | 411.22 Mn |
| 8 | Watsco | 11.58 Bn | 11.60 Bn | 578.93 Mn |
| 9 | Avantor | 10.11 Bn | 9.80 Bn | 537.00 Mn |
| 10 | Core & Main | 7.93 Bn | 7.69 Bn | 573.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 143.98 |
| Mar 31, 2026 | 156.81 |
| Dec 31, 2025 | 156.71 |
| Sep 30, 2025 | 167.81 |
| Jun 30, 2025 | 145.93 |
| Mar 31, 2025 | 148.94 |
| Dec 31, 2024 | 157.32 |
| Sep 30, 2024 | 137.25 |
| Jun 30, 2024 | 122.94 |
| Mar 31, 2024 | 148.35 |
| Dec 31, 2023 | 139.04 |
| Sep 30, 2023 | 105.66 |
| Jun 30, 2023 | 113.11 |
| Mar 31, 2023 | 104.37 |
| Dec 31, 2022 | 109.98 |
| Sep 30, 2022 | 92.66 |
| Jun 30, 2022 | 99.92 |
| Mar 31, 2022 | 126.82 |
| Dec 31, 2021 | 159.45 |
| Sep 30, 2021 | 121.93 |
API Access
Fastenal Price to Earnings 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=price-to-earnings&ticker=FAST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=FAST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();