Ultralife (ULBI) Shares Outstanding (2009 - 2026)
Ultralife (ULBI) posted Weighted Average Shares Outstanding of 16.66 million for Q3 2026, up 0.1% from 16.65 million a year earlier and unchanged from the prior quarter.
Ultralife (ULBI) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Ultralife's Weighted Average Shares Outstanding came in at 16.64 million, up 0.5% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for six consecutive years, with a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- In prior years, Ultralife's Weighted Average Shares Outstanding was 16.56 million in FY2024 (+2.1%), 16.21 million in FY2023 (+0.6%), 16.13 million in FY2022 (+0.5%) and 16.04 million in FY2021 (+0.8%).
- The Q3 2026 figure stands as the highest quarterly Weighted Average Shares Outstanding since Q1 2015.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased in each of the last 27 quarters, with growth averaging 0.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding ran from 0.1% in Q2 2023 to 2.6% in Q2 2024.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 16.66 million (Q2 2026), 16.66 million (Q1 2026) and 16.64 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 266.00 Mn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 294.76 Mn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 107.47 Mn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 151.50 Mn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 91.73 Mn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 58.85 Mn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 750.00 Mn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 36.26 Mn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 242.39 Mn |
| 10 | Ultralife | 262.13 Mn | 228.71 Mn | 13.29 Mn | 16.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.66 Mn |
| Jun 30, 2026 | 16.66 Mn |
| Mar 31, 2026 | 16.66 Mn |
| Dec 31, 2025 | 16.64 Mn |
| Sep 30, 2025 | 16.65 Mn |
| Jun 30, 2025 | 16.64 Mn |
| Mar 31, 2025 | 16.63 Mn |
| Dec 31, 2024 | 16.56 Mn |
| Sep 30, 2024 | 16.63 Mn |
| Jun 30, 2024 | 16.57 Mn |
| Mar 31, 2024 | 16.40 Mn |
| Dec 31, 2023 | 16.21 Mn |
| Sep 30, 2023 | 16.24 Mn |
| Jun 30, 2023 | 16.14 Mn |
| Mar 31, 2023 | 16.14 Mn |
| Dec 31, 2022 | 16.13 Mn |
| Sep 30, 2022 | 16.13 Mn |
| Jun 30, 2022 | 16.13 Mn |
| Mar 31, 2022 | 16.10 Mn |
| Dec 31, 2021 | 16.04 Mn |
Ultralife 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=ULBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "ULBI", "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=ULBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();