Energy Focus (EFOI) Total Liabilities (2010 - 2026)
Energy Focus (EFOI) recorded Total Liabilities of $4.8 million in Q2 2026, up 141.7% from $1.99 million a year earlier and up 142.1% from the prior quarter.
Energy Focus (EFOI) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Energy Focus reported Total Liabilities of $1 million, down 62.9% from FY2024.
- Annual Total Liabilities has declined for three straight years, with a five-year compound annual growth rate of -34.3% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $2.7 million in FY2024 (-62.3%), $7.15 million in FY2023 (-20.3%), $8.98 million in FY2022 (+9.7%) and $8.18 million in FY2021 (+0.5%).
- The Q2 2026 figure is the highest quarterly Total Liabilities since Q4 2023.
- On a year-over-year basis, Total Liabilities rose in 1 of the last eight quarters, with an average decline of 20.9%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 141.7% in Q2 2026, against a decline of 62.9% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.98 million (Q1 2026), $1 million (Q4 2025) and $2.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Energy Focus | 17.20 Mn | 13.01 Mn | -255,000.00 | 4.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.80 Mn |
| Mar 31, 2026 | 1.98 Mn |
| Dec 31, 2025 | 1.00 Mn |
| Sep 30, 2025 | 2.06 Mn |
| Jun 30, 2025 | 1.99 Mn |
| Mar 31, 2025 | 2.59 Mn |
| Dec 31, 2024 | 2.70 Mn |
| Sep 30, 2024 | 3.23 Mn |
| Jun 30, 2024 | 3.55 Mn |
| Mar 31, 2024 | 4.19 Mn |
| Dec 31, 2023 | 7.15 Mn |
| Sep 30, 2023 | 5.51 Mn |
| Jun 30, 2023 | 6.30 Mn |
| Mar 31, 2023 | 5.66 Mn |
| Dec 31, 2022 | 8.98 Mn |
| Sep 30, 2022 | 8.78 Mn |
| Jun 30, 2022 | 8.34 Mn |
| Mar 31, 2022 | 9.12 Mn |
| Dec 31, 2021 | 8.18 Mn |
| Sep 30, 2021 | 8.60 Mn |
Energy Focus Total 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-liabilities&ticker=EFOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=EFOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();