Fluor (FLR) Asset Writedowns and Impairment (2018 - 2022)
Fluor's Asset Writedowns and Impairment came in at $39 million for Q4 2022, down 71.5% from $137 million a year earlier.
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Analysis
Fluor (FLR) Asset Writedowns and Impairment (2018 - 2022) Analysis & Trends
For FY2022, Fluor's Asset Writedowns and Impairment was -$24 million.
- Going back by year, Asset Writedowns and Impairment was $290 million in FY2021 (-2.7%), $298 million in FY2020 (+4.1%) and $286.25 million in FY2019.
- The five-year range for quarterly Asset Writedowns and Impairment is -$63 million (Q1 2022) to $308.3 million (Q3 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 82.37 Bn | 80.45 Bn | 1.55 Bn |
| 2 | Ferrovial | 35.66 Bn | 13.90 Bn | - |
| 3 | Emcor | 28.79 Bn | 25.18 Bn | 1.02 Bn |
| 4 | Jacobs Solutions | 17.11 Bn | 11.77 Bn | 810.70 Mn |
| 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 |
|---|---|
| Dec 31, 2022 | 39.00 Mn |
| Mar 31, 2022 | -63.00 Mn |
| Dec 31, 2021 | 137.00 Mn |
| Sep 30, 2021 | 5.00 Mn |
| Jun 30, 2021 | 101.00 Mn |
| Mar 31, 2021 | 47.00 Mn |
| Dec 31, 2020 | 46.00 Mn |
| Jun 30, 2020 | 239,000.00 |
| Mar 31, 2020 | 295.00 Mn |
| Dec 31, 2019 | -61.16 Mn |
| Sep 30, 2019 | 308.30 Mn |
| Jun 30, 2019 | 39.12 Mn |
| Dec 31, 2018 | 15.60 Mn |
| Sep 30, 2018 | -15.60 Mn |
API Access
Fluor Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=FLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=FLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();