Ultralife (ULBI) Total Liabilities (2009 - 2026)
Ultralife's Total Liabilities came in at $89.77 million for Q3 2026, up 5.8% from $84.81 million a year earlier and up 7.4% from the prior quarter.
Analysis
Ultralife (ULBI) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Ultralife's Total Liabilities was $86.78 million, up 0.6% from FY2024.
- Total Liabilities has increased in each of the last five years, with a five-year compound annual growth rate of 33.1% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $86.26 million in FY2024 (+63.2%), $52.85 million in FY2023 (+1.6%), $52.03 million in FY2022 (+24.5%) and $41.8 million in FY2021 (+101.2%).
- The five-year range for quarterly Total Liabilities is $36.47 million (Q2 2024) to $90.89 million (Q1 2026).
- Year-over-year, Total Liabilities has increased for eight consecutive quarters, with growth averaging 49.3% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2022 (growth of 188.1%), and the weakest in Q2 2024 (a decline of 34.5%).
- Business Quant data shows ULBI's Total Liabilities at $83.56 million (Q2 2026), $90.89 million (Q1 2026) and $86.78 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 73.68 Bn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 4.61 Bn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 3.14 Bn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 1.99 Bn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 3.34 Bn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 3.13 Bn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 5.80 Bn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 1.79 Bn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 1.67 Bn |
| 10 | Ultralife | 262.13 Mn | 228.71 Mn | 13.29 Mn | 89.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 89.77 Mn |
| Jun 30, 2026 | 83.56 Mn |
| Mar 31, 2026 | 90.89 Mn |
| Dec 31, 2025 | 86.78 Mn |
| Sep 30, 2025 | 84.81 Mn |
| Jun 30, 2025 | 82.32 Mn |
| Mar 31, 2025 | 87.15 Mn |
| Dec 31, 2024 | 86.26 Mn |
| Sep 30, 2024 | 37.81 Mn |
| Jun 30, 2024 | 36.47 Mn |
| Mar 31, 2024 | 51.61 Mn |
| Dec 31, 2023 | 52.85 Mn |
| Sep 30, 2023 | 54.35 Mn |
| Jun 30, 2023 | 55.72 Mn |
| Mar 31, 2023 | 54.75 Mn |
| Dec 31, 2022 | 52.03 Mn |
| Sep 30, 2022 | 52.62 Mn |
| Jun 30, 2022 | 45.16 Mn |
| Mar 31, 2022 | 43.75 Mn |
| Dec 31, 2021 | 41.80 Mn |
API Access
Ultralife 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=ULBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ULBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();