Polar Power (POLA) Operating Margin (2018 - 2026)
Polar Power's Operating Margin came in at -163.98% for Q2 2026, down 159.92 percentage points from -4.06% a year earlier and down 165.37 percentage points from the prior quarter.
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Analysis
Polar Power (POLA) Operating Margin (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Polar Power reported Operating Margin of -191.73%, down 157.75 percentage points year-over-year; for FY2025, it was -133.61%, down 102.30 percentage points from FY2024.
- Operating Margin carries a five-year change of +9.94 percentage points (FY2020 to FY2025).
- Going back by year, Operating Margin was -31.32% in FY2024 (+7.85 pp), -39.17% in FY2023 (-4.71 pp), -34.46% in FY2022 (-16.12 pp) and -18.34% in FY2021 (+125.21 pp).
- The five-year range for quarterly Operating Margin is -555.67% (Q4 2025) to 9.87% (Q2 2024).
- Year-over-year, Operating Margin increased in three of the last eight quarters, with an average year-over-year change of -93.90 percentage points.
- The fastest year-over-year change in Operating Margin over five years came in Q3 2021 (a gain of 170.02 percentage points), and the weakest in Q4 2025 (a drop of 445.22 percentage points).
- Business Quant data shows POLA's Operating Margin at 1.39% (Q1 2026), -555.67% (Q4 2025) and -304.56% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 26.67% |
| 10 | Polar Power | 4.61 Mn | 4.20 Mn | -337,000.00 | -163.98% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -163.98% |
| Mar 31, 2026 | 1.39% |
| Dec 31, 2025 | -555.67% |
| Sep 30, 2025 | -304.56% |
| Jun 30, 2025 | -4.06% |
| Mar 31, 2025 | -63.90% |
| Dec 31, 2024 | -110.45% |
| Sep 30, 2024 | 0.81% |
| Jun 30, 2024 | 9.87% |
| Mar 31, 2024 | -111.49% |
| Dec 31, 2023 | -82.44% |
| Sep 30, 2023 | -87.55% |
| Jun 30, 2023 | -5.55% |
| Mar 31, 2023 | -24.70% |
| Dec 31, 2022 | -20.81% |
| Sep 30, 2022 | -139.19% |
| Jun 30, 2022 | -16.96% |
| Mar 31, 2022 | -29.85% |
| Dec 31, 2021 | 9.24% |
| Sep 30, 2021 | -18.42% |
API Access
Polar Power Operating Margin 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=operating-margin&ticker=POLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=POLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();