Fluor (FLR) Selling, General & Administrative (2010 - 2026)
Fluor (FLR) reported Selling, General & Administrative of $41 million for Q2 2026, down 21.2% from $52 million a year earlier and down 32.8% from the prior quarter.
Fluor (FLR) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fluor's Selling, General & Administrative came in at $210 million, up 16.0% year-over-year; for FY2025, it was $196 million, down 3.4% from FY2024.
- Selling, General & Administrative has declined for three consecutive years, with a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $203 million in FY2024 (-12.5%), $232 million in FY2023 (-2.1%), $237 million in FY2022 (+4.9%) and $226 million in FY2021 (+5.1%).
- The Q2 2026 figure ranks as the lowest quarterly Selling, General & Administrative since Q1 2025.
- Year over year, Selling, General & Administrative gained in five of the last eight quarters, with growth averaging 1.7%.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2023 (growth of 86.7%); the low point was Q4 2023 (a decline of 39.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $61 million (Q1 2026), $65 million (Q4 2025) and $43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.10 Bn | 80.29 Bn | 1.55 Bn | 698.49 Mn |
| 2 | Ferrovial | 35.78 Bn | 16.09 Bn | - | - |
| 3 | Emcor | 28.64 Bn | 25.04 Bn | 1.02 Bn | 475.04 Mn |
| 4 | Jacobs Solutions | 16.99 Bn | 11.64 Bn | 810.70 Mn | 524.00 Mn |
| 5 | Mastec | 13.74 Bn | 12.65 Bn | 556.28 Mn | 206.47 Mn |
| 6 | Sterling Infrastructure | 10.90 Bn | 9.26 Bn | 289.96 Mn | 53.13 Mn |
| 7 | IES Holdings | 8.51 Bn | 7.37 Bn | 340.66 Mn | 162.17 Mn |
| 8 | Stantec | 8.11 Bn | 7.04 Bn | 1.36 Bn | 937.27 Mn |
| 9 | Aecom | 7.78 Bn | 3.11 Bn | -34.04 Mn | 34.37 Mn |
| 10 | Fluor | 5.97 Bn | -7.14 Bn | 179.00 Mn | 41.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.00 Mn |
| Mar 31, 2026 | 61.00 Mn |
| Dec 31, 2025 | 65.00 Mn |
| Sep 30, 2025 | 43.00 Mn |
| Jun 30, 2025 | 52.00 Mn |
| Mar 31, 2025 | 36.00 Mn |
| Dec 31, 2024 | 56.00 Mn |
| Sep 30, 2024 | 37.00 Mn |
| Jun 30, 2024 | 50.00 Mn |
| Mar 31, 2024 | 59.00 Mn |
| Dec 31, 2023 | 55.00 Mn |
| Sep 30, 2023 | 56.00 Mn |
| Jun 30, 2023 | 60.00 Mn |
| Mar 31, 2023 | 62.00 Mn |
| Dec 31, 2022 | 91.00 Mn |
| Sep 30, 2022 | 30.00 Mn |
| Jun 30, 2022 | 45.00 Mn |
| Mar 31, 2022 | 71.00 Mn |
| Dec 31, 2021 | 82.00 Mn |
| Sep 30, 2021 | 44.00 Mn |
Fluor Selling, General & Administrative 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=selling-general-and-administrative&ticker=FLR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();