Fluor (FLR) Shares Outstanding (2009 - 2026)
Fluor's Weighted Average Shares Outstanding came in at 5.32 million for Q3 2026, down 17.9% from 6.48 million a year earlier and down 4.3% from the prior quarter.
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Analysis
Fluor (FLR) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Fluor's Weighted Average Shares Outstanding was 6.56 million, down 4.7% from FY2024.
- Weighted Average Shares Outstanding carries a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding was 6.88 million in FY2024 (+14.7%), 6 million in FY2023 (+5.6%), 5.68 million in FY2022 (+0.5%) and 5.65 million in FY2021 (+0.5%).
- The Q3 2026 figure represents the lowest quarterly Weighted Average Shares Outstanding in data going back to Q1 2009.
- Year-over-year, Weighted Average Shares Outstanding has declined for seven consecutive quarters, with an average decline of 5.9% over the last eight quarters.
- The fastest year-over-year change in Weighted Average Shares Outstanding over five years came in Q1 2024 (growth of 20.4%), and the weakest in Q3 2026 (a decline of 17.9%).
- Business Quant data shows FLR's Weighted Average Shares Outstanding at 5.56 million (Q2 2026), 5.84 million (Q1 2026) and 6.56 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 90.69 Bn | 87.15 Bn | 2.01 Bn | 150.53 Mn |
| 2 | Ferrovial | 44.45 Bn | 25.05 Bn | - | 718.72 Mn |
| 3 | Emcor | 28.99 Bn | 25.27 Bn | 1.11 Bn | 44.12 Mn |
| 4 | Jacobs Solutions | 18.53 Bn | 13.18 Bn | 810.70 Mn | 117.75 Mn |
| 5 | Mastec | 14.68 Bn | 13.36 Bn | 660.86 Mn | 79.08 Mn |
| 6 | Stantec | 9.77 Bn | 8.64 Bn | 2.08 Bn | 114.07 Mn |
| 7 | Aecom | 9.07 Bn | 4.40 Bn | -34.04 Mn | 128.60 Mn |
| 8 | Sterling Infrastructure | 8.95 Bn | 7.41 Bn | 377.28 Mn | 30.61 Mn |
| 9 | IES Holdings | 6.79 Bn | 5.65 Bn | 340.66 Mn | 39.85 Mn |
| 10 | Fluor | 159.30 Mn | -13.18 Bn | 203.00 Mn | 5.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.32 Mn |
| Jun 30, 2026 | 5.56 Mn |
| Mar 31, 2026 | 5.84 Mn |
| Dec 31, 2025 | 6.56 Mn |
| Sep 30, 2025 | 6.48 Mn |
| Jun 30, 2025 | 6.60 Mn |
| Mar 31, 2025 | 6.76 Mn |
| Dec 31, 2024 | 6.88 Mn |
| Sep 30, 2024 | 6.84 Mn |
| Jun 30, 2024 | 6.84 Mn |
| Mar 31, 2024 | 6.84 Mn |
| Dec 31, 2023 | 6.00 Mn |
| Sep 30, 2023 | 5.76 Mn |
| Jun 30, 2023 | 5.72 Mn |
| Mar 31, 2023 | 5.68 Mn |
| Dec 31, 2022 | 5.68 Mn |
| Sep 30, 2022 | 5.68 Mn |
| Jun 30, 2022 | 5.68 Mn |
| Mar 31, 2022 | 5.68 Mn |
| Dec 31, 2021 | 5.65 Mn |
API Access
Fluor Shares Outstanding 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=shares-outstanding&ticker=FLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=FLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();