Energy Focus (EFOI) Shares Outstanding (2009 - 2026)
Energy Focus (EFOI) reported Weighted Average Shares Outstanding of 6.37 million for Q3 2026, up 13.5% from 5.61 million a year earlier and up 0.7% from the prior quarter.
Energy Focus (EFOI) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Energy Focus posted Weighted Average Shares Outstanding of 5.55 million, up 12.2% from FY2024.
- Weighted Average Shares Outstanding has increased for 16 consecutive years, with a five-year compound annual growth rate of 64.1% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 4.95 million in FY2024 (+52.6%), 3.24 million in FY2023 (+179.7%), 1.16 million in FY2022 (+77.8%) and 651,584 in FY2021 (+39.5%).
- The Q3 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding in data going back to Q1 2009.
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last 67 quarters, with growth averaging 19.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding ran from 6.6% in Q3 2025 to 179.7% in Q4 2023.
- Per Business Quant data, the three quarters before Q3 2026 came in at 6.33 million (Q2 2026), 6.25 million (Q1 2026) and 5.55 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn | 459.10 Mn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn | 2.47 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn | 269.80 Mn |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn | 388.60 Mn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn | 126.10 Mn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn | 518.80 Mn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn | 559.60 Mn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn | 284.60 Mn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn | 385.00 Mn |
| 10 | Energy Focus | 28.28 Mn | 21.66 Mn | 985,000.00 | 6.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.37 Mn |
| Jun 30, 2026 | 6.33 Mn |
| Mar 31, 2026 | 6.25 Mn |
| Dec 31, 2025 | 5.55 Mn |
| Sep 30, 2025 | 5.61 Mn |
| Jun 30, 2025 | 5.38 Mn |
| Mar 31, 2025 | 5.27 Mn |
| Dec 31, 2024 | 4.95 Mn |
| Sep 30, 2024 | 5.26 Mn |
| Jun 30, 2024 | 4.79 Mn |
| Mar 31, 2024 | 4.43 Mn |
| Dec 31, 2023 | 3.24 Mn |
| Sep 30, 2023 | 3.51 Mn |
| Jun 30, 2023 | 2.77 Mn |
| Mar 31, 2023 | 2.31 Mn |
| Dec 31, 2022 | 1.16 Mn |
| Sep 30, 2022 | 1.31 Mn |
| Jun 30, 2022 | 1.02 Mn |
| Mar 31, 2022 | 919,590.00 |
| Dec 31, 2021 | 651,584.00 |
Energy Focus Shares Outstanding 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=shares-outstanding&ticker=EFOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=EFOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();