Fluor (FLR) Price to Earnings (2009 - 2026)
Fluor's (FLR) Price to Earnings came in at 18.87 for Q1 2026, up 484.9% from 3.23 a year earlier.
Analysis
Fluor (FLR) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2024, Fluor's Price to Earnings stood at 3.89, down 95.2% from FY2023.
- In prior years, Fluor's Price to Earnings was 80.42 in FY2023 (+72.8%) and 46.54 in FY2022.
- The Q1 2026 figure stands as the highest quarterly Price to Earnings since Q3 2024.
- On a year-over-year basis, Price to Earnings increased in 1 of the last six quarters, with growth averaging 11.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 82.10 Bn | 80.29 Bn | 1.55 Bn |
| 2 | Ferrovial | 35.78 Bn | 16.09 Bn | - |
| 3 | Emcor | 28.64 Bn | 25.04 Bn | 1.02 Bn |
| 4 | Jacobs Solutions | 16.99 Bn | 11.64 Bn | 810.70 Mn |
| 5 | Mastec | 13.74 Bn | 12.65 Bn | 556.28 Mn |
| 6 | Sterling Infrastructure | 10.90 Bn | 9.26 Bn | 289.96 Mn |
| 7 | IES Holdings | 8.51 Bn | 7.37 Bn | 340.66 Mn |
| 8 | Stantec | 8.11 Bn | 7.04 Bn | 1.36 Bn |
| 9 | Aecom | 7.78 Bn | 3.11 Bn | -34.04 Mn |
| 10 | Fluor | 5.97 Bn | -7.14 Bn | 179.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 18.87 |
| Sep 30, 2025 | 2.00 |
| Jun 30, 2025 | 2.01 |
| Mar 31, 2025 | 3.23 |
| Dec 31, 2024 | 3.89 |
| Sep 30, 2024 | 31.44 |
| Jun 30, 2024 | 19.89 |
| Mar 31, 2024 | 28.17 |
| Dec 31, 2023 | 82.40 |
| Sep 30, 2023 | 61.30 |
| Dec 31, 2022 | 46.98 |
| Mar 31, 2019 | 28.33 |
| Dec 31, 2018 | 20.18 |
| Sep 30, 2018 | 34.81 |
| Jun 30, 2018 | 27.23 |
| Mar 31, 2018 | 71.10 |
| Dec 31, 2017 | 37.77 |
| Sep 30, 2017 | 29.22 |
| Jun 30, 2017 | 57.23 |
| Mar 31, 2017 | 30.94 |
API Access
Fluor 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=FLR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "FLR", "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=FLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();