Polar Power (POLA) Return on Sales [ROS] (2016 - 2026)
Polar Power (POLA) reported Return on Sales [ROS] of -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.
Polar Power (POLA) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Polar Power's Return on Sales [ROS] came in at -191.73%, down 157.75 percentage points year-over-year; for FY2025, it came in at -133.61%, down 102.30 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +9.94 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -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).
- Five-year quarterly Return on Sales [ROS] spans a low of -555.67% in Q4 2025 and a high of 9.87% in Q2 2024.
- Year over year, Return on Sales [ROS] gained in three of the last eight quarters, with an average year-over-year change of -93.90 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2021 (a gain of 170.02 percentage points); the low point was Q4 2025 (a drop of 445.22 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 1.39% (Q1 2026), -555.67% (Q4 2025) and -304.56% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn | 20.38% |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn | 29.53% |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn | 17.76% |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn | 19.96% |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn | 25.88% |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn | 27.79% |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn | 22.81% |
| 10 | Polar Power | 1.03 Mn | 615,154.72 | -337,000.00 | -163.98% |
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% |
Polar Power Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=POLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=POLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();