Ultralife (ULBI) Other Operating Expenses (2013 - 2025)
Ultralife's Other Operating Expenses came in at $10.5 million for Q4 2025, compared with -$1.28 million a year earlier.
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Analysis
Ultralife (ULBI) Other Operating Expenses (2013 - 2025) Analysis & Trends
Going back to Q4 2013, Ultralife's Other Operating Expenses data covers 15 quarters.
- Other Operating Expenses carries a five-year compound annual growth rate of 45.8% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was -$1.28 million in FY2024, -$1.06 million in FY2023 and -$793,000 in FY2022.
- The Q4 2025 figure represents the highest quarterly Other Operating Expenses in data going back to Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn |
| 10 | Ultralife | 107.64 Mn | 73.58 Mn | 13.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 10.50 Mn |
| Dec 31, 2024 | -1.28 Mn |
| Dec 31, 2023 | -1.06 Mn |
| Dec 31, 2022 | -793,000.00 |
| Dec 31, 2021 | -1.22 Mn |
| Dec 31, 2020 | -1.37 Mn |
| Dec 31, 2019 | -1.22 Mn |
| Dec 31, 2018 | -722,000.00 |
| Dec 31, 2017 | -405,000.00 |
| Dec 31, 2016 | -209,000.00 |
| Mar 27, 2016 | -113,000.00 |
| Dec 31, 2015 | -359,000.00 |
| Mar 29, 2015 | -188,000.00 |
| Dec 31, 2014 | -315,000.00 |
| Dec 31, 2013 | -403,000.00 |
API Access
Ultralife Other Operating 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=other-operating-expenses&ticker=ULBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=ULBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();