Fuel Tech (FTEK) Asset Writedowns and Impairment (2016 - 2019)
Fuel Tech (FTEK) recorded Asset Writedowns and Impairment of $197,000 in FY2020, up 55.1% from $127,000 in FY2019.
Analysis
Fuel Tech (FTEK) Asset Writedowns and Impairment (2016 - 2019) Analysis & Trends
Starting with FY2014, Fuel Tech's Asset Writedowns and Impairment history includes 7 years.
- Annual Asset Writedowns and Impairment has a five-year compound annual growth rate of -32.7% (FY2015 to FY2020).
- Annual Asset Writedowns and Impairment has ranged from $127,000 in FY2019 to $2.97 million in FY2017 over the past five years.
- Per Business Quant data, FTEK's Asset Writedowns and Impairment was $127,000 in FY2019 (-59.9%), $317,000 in FY2018 (-89.3%), $2.97 million in FY2017 (+43.0%) and $2.07 million in FY2016 (+45.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Ecolab | 76.74 Bn | 68.51 Bn | 1.95 Bn |
| 2 | Xylem | 23.78 Bn | 19.27 Bn | 963.00 Mn |
| 3 | Veralto | 23.12 Bn | 15.77 Bn | 902.00 Mn |
| 4 | Badger Meter | 3.70 Bn | 2.97 Bn | 90.77 Mn |
| 5 | Ceco Environmental | 3.19 Bn | 3.02 Bn | 86.47 Mn |
| 6 | NWPX Infrastructure | 1.02 Bn | 983.22 Mn | 34.36 Mn |
| 7 | Energy Recovery | 346.45 Mn | 21.62 Mn | 8.96 Mn |
| 8 | Cadiz | 322.34 Mn | 290.78 Mn | -24,000.00 |
| 9 | AirJoule Technologies | 287.52 Mn | 167.15 Mn | - |
| 10 | Fuel Tech | 51.82 Mn | -40.11 Mn | 2.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 76,000.00 |
| Jun 30, 2019 | 51,000.00 |
| Jun 30, 2018 | 317,000.00 |
| Jun 30, 2017 | 2.97 Mn |
| Dec 31, 2016 | 2.07 Mn |
API Access
Fuel Tech 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=FTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "FTEK", "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=FTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();