Energy Focus (EFOI) Accumulated Expenses (2010 - 2025)
Energy Focus (EFOI) reported Accumulated Expenses of $57,000 for Q1 2025, down 36.7% from the prior quarter.
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Analysis
Energy Focus (EFOI) Accumulated Expenses (2010 - 2025) Analysis & Trends
At the end of FY2024, Energy Focus posted Accumulated Expenses of $90,000, down 18.2% from FY2023.
- Accumulated Expenses has a five-year compound annual growth rate of -38.4% (FY2019 to FY2024).
- By year, Accumulated Expenses came in at $110,000 in FY2023 and $11,000 in FY2020 (-98.9%).
- The Q1 2025 figure ranks as the lowest quarterly Accumulated Expenses since Q1 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 315.73 Bn | 287.43 Bn | 7.76 Bn |
| 2 | Amphenol | 182.70 Bn | 177.41 Bn | 3.55 Bn |
| 3 | Deere | 174.18 Bn | 182.94 Bn | 4.66 Bn |
| 4 | Eaton | 142.17 Bn | 139.40 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 110.97 Bn | 109.10 Bn | 2.25 Bn |
| 6 | Emerson Electric | 90.14 Bn | 82.89 Bn | 2.66 Bn |
| 7 | 3M | 89.64 Bn | 72.05 Bn | 2.78 Bn |
| 8 | Illinois Tool Works | 78.53 Bn | 75.09 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 74.79 Bn | 65.41 Bn | 1.23 Bn |
| 10 | Energy Focus | 18.34 Mn | 14.16 Mn | -255,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 57,000.00 |
| Dec 31, 2024 | 90,000.00 |
| Dec 31, 2023 | 110,000.00 |
| Mar 31, 2021 | 5,000.00 |
| Dec 31, 2020 | 11,000.00 |
| Sep 30, 2020 | 18,000.00 |
| Jun 30, 2020 | 25,000.00 |
| Mar 31, 2020 | 24,000.00 |
| Dec 31, 2019 | 1.04 Mn |
| Sep 30, 2019 | 23,000.00 |
| Jun 30, 2019 | 28,000.00 |
| Mar 31, 2019 | 36,000.00 |
| Dec 31, 2018 | 1.54 Mn |
| Sep 30, 2018 | 220,000.00 |
| Jun 30, 2018 | 290,000.00 |
| Mar 31, 2018 | 236,000.00 |
| Dec 31, 2017 | 992,000.00 |
| Sep 30, 2017 | 490,000.00 |
| Jun 30, 2017 | 823,000.00 |
| Mar 31, 2017 | 748,000.00 |
API Access
Energy Focus Accumulated Expenses 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=accumulated-expenses&ticker=EFOI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=EFOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();