Energy Focus (EFOI) Total Non-Current Liabilities (2009 - 2026)
Energy Focus (EFOI) reported Total Non-Current Liabilities of $3.9 million for Q3 2026, up 98.0% from $1.97 million a year earlier but down 17.7% from the prior quarter.
Energy Focus (EFOI) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Energy Focus posted Total Non-Current Liabilities of $909,000, down 64.8% from FY2024.
- Total Non-Current Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -35.5% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $2.58 million in FY2024 (-63.2%), $7 million in FY2023 (-20.4%), $8.79 million in FY2022 (+11.5%) and $7.89 million in FY2021 (-3.1%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $909,000 in Q4 2025 and a high of $8.85 million in Q1 2022.
- Year over year, Total Non-Current Liabilities gained in two of the last eight quarters, with an average decline of 3.0%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2026 (growth of 149.6%); the low point was Q4 2025 (a decline of 64.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $4.74 million (Q2 2026), $1.92 million (Q1 2026) and $909,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn | 76.44 Bn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn | 28.76 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn | 23.44 Bn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn | 25.05 Bn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn | 26.86 Bn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn | 17.63 Bn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn | 8.26 Bn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn | 12.22 Bn |
| 10 | Energy Focus | 28.28 Mn | 21.66 Mn | 985,000.00 | 3.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.90 Mn |
| Jun 30, 2026 | 4.74 Mn |
| Mar 31, 2026 | 1.92 Mn |
| Dec 31, 2025 | 909,000.00 |
| Sep 30, 2025 | 1.97 Mn |
| Jun 30, 2025 | 1.90 Mn |
| Mar 31, 2025 | 2.50 Mn |
| Dec 31, 2024 | 2.58 Mn |
| Sep 30, 2024 | 3.11 Mn |
| Jun 30, 2024 | 3.44 Mn |
| Mar 31, 2024 | 4.08 Mn |
| Dec 31, 2023 | 7.00 Mn |
| Sep 30, 2023 | 5.36 Mn |
| Jun 30, 2023 | 6.16 Mn |
| Mar 31, 2023 | 5.52 Mn |
| Dec 31, 2022 | 8.79 Mn |
| Sep 30, 2022 | 8.54 Mn |
| Jun 30, 2022 | 8.02 Mn |
| Mar 31, 2022 | 8.85 Mn |
| Dec 31, 2021 | 7.89 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();