Fuel Tech (FTEK) Restructuring Costs (2015 - 2020)
Fuel Tech's Restructuring Costs came in at $625,000 for Q4 2020.
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Analysis
Fuel Tech (FTEK) Restructuring Costs (2015 - 2020) Analysis & Trends
Going back to Q2 2015, Fuel Tech's Restructuring Costs data covers 10 quarters.
- Restructuring Costs carries a five-year compound annual growth rate of 23.3% (FY2015 to FY2020).
- Going back by year, Restructuring Costs was $625,000 in FY2019, $119,000 in FY2017 (-91.7%) and $1.43 million in FY2016 (+552.1%).
- The Q4 2020 figure represents the highest quarterly Restructuring Costs since Q3 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Ecolab | 77.03 Bn | 68.81 Bn | 1.95 Bn |
| 2 | Xylem | 23.64 Bn | 19.13 Bn | 963.00 Mn |
| 3 | Veralto | 23.04 Bn | 15.69 Bn | 902.00 Mn |
| 4 | Badger Meter | 3.58 Bn | 2.86 Bn | 90.77 Mn |
| 5 | Ceco Environmental | 3.02 Bn | 2.85 Bn | 86.47 Mn |
| 6 | NWPX Infrastructure | 993.21 Mn | 954.68 Mn | 34.36 Mn |
| 7 | Energy Recovery | 341.34 Mn | 16.50 Mn | 8.96 Mn |
| 8 | Cadiz | 329.91 Mn | 298.36 Mn | -24,000.00 |
| 9 | AirJoule Technologies | 286.05 Mn | 165.68 Mn | - |
| 10 | Fuel Tech | 50.57 Mn | -41.36 Mn | 2.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 625,000.00 |
| Jun 30, 2019 | 30,000.00 |
| Mar 31, 2019 | 595,000.00 |
| Jun 30, 2017 | 58,000.00 |
| Mar 31, 2017 | 61,000.00 |
| Dec 31, 2016 | 3,000.00 |
| Sep 30, 2016 | 1.11 Mn |
| Mar 31, 2016 | 317,000.00 |
| Dec 31, 2015 | -16,000.00 |
| Jun 30, 2015 | 235,000.00 |
API Access
Fuel Tech Restructuring Costs 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=restructuring-costs&ticker=FTEK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=FTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();