Fluor (FLR) Dividend Coverage Ratio (2009 - 2023)
Fluor's (FLR) Dividend Coverage Ratio stood at 5.10 in Q2 2023, down 8.9% from 5.60 a year earlier.
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Analysis
Fluor (FLR) Dividend Coverage Ratio (2009 - 2023) Analysis & Trends
On a TTM basis, Fluor's Dividend Coverage Ratio came in at -1.38 as of Jun 30, 2023; for FY2020, it was -15.15.
- Across earlier years, Dividend Coverage Ratio came in at -12.89 in FY2019, 1.46 in FY2018 (-9.9%), 1.62 in FY2017 (-32.0%) and 2.38 in FY2016 (-27.6%).
- Quarterly Dividend Coverage Ratio has ranged from -25.29 in Q3 2019 to 5.60 in Q2 2022 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.37 Bn | 80.45 Bn | 1.55 Bn | 27.30 |
| 2 | Ferrovial | 35.66 Bn | 13.90 Bn | - | - |
| 3 | Emcor | 28.79 Bn | 25.18 Bn | 1.02 Bn | 22.71 |
| 4 | Jacobs Solutions | 17.11 Bn | 11.77 Bn | 810.70 Mn | 3.23 |
| 5 | Mastec | 13.35 Bn | 12.13 Bn | 556.28 Mn | - |
| 6 | Sterling Infrastructure | 10.94 Bn | 9.27 Bn | 289.96 Mn | - |
| 7 | IES Holdings | 8.50 Bn | 7.36 Bn | 340.66 Mn | - |
| 8 | Stantec | 8.11 Bn | 7.03 Bn | 1.36 Bn | - |
| 9 | Aecom | 7.78 Bn | 2.90 Bn | -34.04 Mn | - |
| 10 | Fluor | 6.14 Bn | -7.07 Bn | 179.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 5.10 |
| Mar 31, 2023 | -11.70 |
| Jun 30, 2022 | 5.60 |
| Mar 31, 2022 | 3.80 |
| Sep 30, 2021 | 3.29 |
| Jun 30, 2020 | -1.78 |
| Mar 31, 2020 | -18.10 |
| Dec 31, 2019 | -10.09 |
| Sep 30, 2019 | -25.29 |
| Jun 30, 2019 | -18.92 |
| Mar 31, 2019 | -1.95 |
| Dec 31, 2018 | 1.63 |
| Sep 30, 2018 | 2.62 |
| Jun 30, 2018 | 3.91 |
| Mar 31, 2018 | -0.58 |
| Dec 31, 2017 | 2.05 |
| Sep 30, 2017 | 3.22 |
| Jun 30, 2017 | -0.82 |
| Mar 31, 2017 | 2.02 |
| Dec 31, 2016 | 2.43 |
API Access
Fluor Dividend Coverage Ratio 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=dividend-coverage-ratio&ticker=FLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-coverage-ratio", "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=dividend-coverage-ratio&ticker=FLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();