Energy Focus (EFOI) Restructuring Costs (2013 - 2021)
Energy Focus' Restructuring Costs came in at -$21,000 for FY2021, compared with -$60,000 in FY2020.
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Analysis
Energy Focus (EFOI) Restructuring Costs (2013 - 2021) Analysis & Trends
Going back to FY2009, Energy Focus' Restructuring Costs data covers 8 years.
- The five-year range for annual Restructuring Costs is -$60,000 (FY2020) to $1.66 million (FY2017).
- Per Business Quant, earlier years put Restructuring Costs at -$60,000 in FY2020, $196,000 in FY2019 (+76.6%), $111,000 in FY2018 (-93.3%) and $1.66 million in FY2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Energy Focus | 17.20 Mn | 13.01 Mn | -255,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2021 | 1,000.00 |
| Jun 30, 2021 | -3,000.00 |
| Mar 31, 2021 | -19,000.00 |
| Dec 31, 2020 | -16,000.00 |
| Sep 30, 2020 | -16,000.00 |
| Jun 30, 2020 | -14,000.00 |
| Mar 31, 2020 | -14,000.00 |
| Dec 31, 2019 | -47,000.00 |
| Sep 30, 2019 | -19,000.00 |
| Jun 30, 2019 | 128,000.00 |
| Mar 31, 2019 | 134,000.00 |
| Dec 31, 2018 | 157,000.00 |
| Sep 30, 2018 | 1,000.00 |
| Jun 30, 2018 | 3,000.00 |
| Mar 31, 2018 | -50,000.00 |
| Dec 31, 2017 | 128,000.00 |
| Sep 30, 2017 | -200,000.00 |
| Jun 30, 2017 | 1.06 Mn |
| Mar 31, 2017 | 700,000.00 |
| Sep 30, 2013 | 80,000.00 |
API Access
Energy Focus 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=EFOI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "EFOI", "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=EFOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();