Energy Focus (EFOI) Total Non-Current Liabilities (2010 - 2020)
Energy Focus (EFOI) reported Total Non-Current Liabilities of $8.14 million for Q4 2020, up 5.3% from $7.73 million a year earlier but down 31.7% from the prior quarter.
Energy Focus (EFOI) Total Non-Current Liabilities (2010 - 2020) Analysis & Trends
Dating back to Q4 2010, Energy Focus' Total Non-Current Liabilities record includes 38 quarters.
- Total Non-Current Liabilities has increased for three consecutive years, though with a five-year compound annual growth rate of -4.6% (FY2015 to FY2020).
- By year, Total Non-Current Liabilities came in at $7.73 million in FY2019 (+6.8%), $7.24 million in FY2018 (+175.6%), $2.63 million in FY2017 (-46.7%) and $4.93 million in FY2016 (-52.1%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $2.63 million in Q4 2017 and a high of $12.19 million in Q2 2020.
- Year over year, Total Non-Current Liabilities has now increased in each of the last three quarters, with growth averaging 48.8% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2018 (growth of 175.6%); the low point was Q2 2017 (a decline of 52.4%).
- Per Business Quant data, the three quarters before Q4 2020 came in at $11.93 million (Q3 2020), $12.19 million (Q2 2020) and $6.53 million (Q1 2020).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Energy Focus | 17.20 Mn | 13.01 Mn | -255,000.00 | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 8.14 Mn |
| Sep 30, 2020 | 11.93 Mn |
| Jun 30, 2020 | 12.19 Mn |
| Mar 31, 2020 | 6.53 Mn |
| Dec 31, 2019 | 7.73 Mn |
| Sep 30, 2019 | 7.57 Mn |
| Jun 30, 2019 | 8.69 Mn |
| Mar 31, 2019 | 9.58 Mn |
| Dec 31, 2018 | 7.24 Mn |
| Sep 30, 2018 | 4.57 Mn |
| Jun 30, 2018 | 4.08 Mn |
| Mar 31, 2018 | 4.10 Mn |
| Dec 31, 2017 | 2.63 Mn |
| Sep 30, 2017 | 3.35 Mn |
| Jun 30, 2017 | 4.70 Mn |
| Mar 31, 2017 | 3.71 Mn |
| Dec 31, 2016 | 4.93 Mn |
| Sep 30, 2016 | 5.60 Mn |
| Jun 30, 2016 | 9.87 Mn |
| Mar 31, 2016 | 7.70 Mn |
Energy Focus Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=EFOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=EFOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();