Fluor (FLR) Non Operating Interest Expenses (2009 - 2026)
Fluor's Non Operating Interest Expenses came in at $9 million for Q3 2026, down 18.2% from $11 million a year earlier and down 18.2% from the prior quarter.
Fluor (FLR) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Fluor reported Non Operating Interest Expenses of $41 million, down 4.7% year-over-year; for FY2025, it was $42 million, down 8.7% from FY2024.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of -10.2% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $46 million in FY2024 (-23.3%), $60 million in FY2023 (+1.7%), $59 million in FY2022 (-34.4%) and $90 million in FY2021 (+25.0%).
- The five-year range for quarterly Non Operating Interest Expenses is $9 million (Q2 2025) to $16 million (Q2 2023).
- Year-over-year, Non Operating Interest Expenses increased in 1 of the last eight quarters, with an average decline of 6.7%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q2 2023 (growth of 23.1%), and the weakest in Q3 2022 (a decline of 62.2%).
- Business Quant data shows FLR's Non Operating Interest Expenses at $11 million (Q2 2026), $10 million (Q1 2026) and $11 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 90.69 Bn | 87.15 Bn | 2.01 Bn | 83.99 Mn |
| 2 | Ferrovial | 44.45 Bn | 25.05 Bn | - | - |
| 3 | Emcor | 28.99 Bn | 25.27 Bn | 1.11 Bn | - |
| 4 | Jacobs Solutions | 18.53 Bn | 13.18 Bn | 810.70 Mn | 54.65 Mn |
| 5 | Mastec | 14.68 Bn | 13.36 Bn | 660.86 Mn | 61.80 Mn |
| 6 | Stantec | 9.77 Bn | 8.64 Bn | 2.08 Bn | - |
| 7 | Aecom | 9.07 Bn | 4.40 Bn | -34.04 Mn | 47.64 Mn |
| 8 | Sterling Infrastructure | 8.95 Bn | 7.41 Bn | 377.28 Mn | 1.87 Mn |
| 9 | IES Holdings | 6.79 Bn | 5.65 Bn | 340.66 Mn | 1.01 Mn |
| 10 | Fluor | 159.30 Mn | -13.18 Bn | 203.00 Mn | 9.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.00 Mn |
| Jun 30, 2026 | 11.00 Mn |
| Mar 31, 2026 | 10.00 Mn |
| Dec 31, 2025 | 11.00 Mn |
| Sep 30, 2025 | 11.00 Mn |
| Jun 30, 2025 | 9.00 Mn |
| Mar 31, 2025 | 12.00 Mn |
| Dec 31, 2024 | 11.00 Mn |
| Sep 30, 2024 | 11.00 Mn |
| Jun 30, 2024 | 11.00 Mn |
| Mar 31, 2024 | 13.00 Mn |
| Dec 31, 2023 | 13.00 Mn |
| Sep 30, 2023 | 14.00 Mn |
| Jun 30, 2023 | 16.00 Mn |
| Mar 31, 2023 | 16.00 Mn |
| Dec 31, 2022 | 16.00 Mn |
| Sep 30, 2022 | 14.00 Mn |
| Jun 30, 2022 | 13.00 Mn |
| Mar 31, 2022 | 16.00 Mn |
| Dec 31, 2021 | 14.00 Mn |
Fluor Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=FLR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=FLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();