Polar Power (POLA) Total Liabilities (2017 - 2026)
Polar Power (POLA) posted Total Liabilities of $9.35 million for Q2 2026, down 2.3% from $9.56 million a year earlier but up 3.2% from the prior quarter.
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Analysis
Polar Power (POLA) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Polar Power's Total Liabilities came in at $10.29 million, up 13.9% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- In prior years, Polar Power's Total Liabilities was $9.03 million in FY2024 (-25.2%), $12.07 million in FY2023 (+101.0%), $6.01 million in FY2022 (+52.8%) and $3.93 million in FY2021 (-37.7%).
- Quarterly Total Liabilities has run from a low of $3.93 million in Q4 2021 to a high of $13.61 million in Q3 2023 over five years.
- On a year-over-year basis, Total Liabilities increased in two of the last eight quarters, with an average decline of 10.5%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2023, with growth of 128.5%; the weakest was Q4 2021, with a decline of 37.7%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $9.06 million (Q1 2026), $10.29 million (Q4 2025) and $9.45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Polar Power | 4.61 Mn | 4.20 Mn | -337,000.00 | 9.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.35 Mn |
| Mar 31, 2026 | 9.06 Mn |
| Dec 31, 2025 | 10.29 Mn |
| Sep 30, 2025 | 9.45 Mn |
| Jun 30, 2025 | 9.56 Mn |
| Mar 31, 2025 | 9.34 Mn |
| Dec 31, 2024 | 9.03 Mn |
| Sep 30, 2024 | 9.36 Mn |
| Jun 30, 2024 | 10.63 Mn |
| Mar 31, 2024 | 12.82 Mn |
| Dec 31, 2023 | 12.07 Mn |
| Sep 30, 2023 | 13.61 Mn |
| Jun 30, 2023 | 11.68 Mn |
| Dec 31, 2022 | 6.01 Mn |
| Sep 30, 2022 | 5.96 Mn |
| Jun 30, 2022 | 5.86 Mn |
| Mar 31, 2022 | 3.94 Mn |
| Dec 31, 2021 | 3.93 Mn |
| Sep 30, 2021 | 4.15 Mn |
| Jun 30, 2021 | 6.31 Mn |
API Access
Polar Power 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=POLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "POLA", "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=POLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();