Polar Power (POLA) Return on Capital Employed [ROCE] (2017 - 2026)
Polar Power's Return on Capital Employed [ROCE] was -387.11% in Q1 2026, down 343.00 percentage points from -44.10% a year earlier but up 379.57 percentage points from the prior quarter.
Polar Power (POLA) Return on Capital Employed [ROCE] (2017 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Polar Power came in at -227.74%, down 193.67 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -147.51 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -34.07% in FY2024 (+7.22 pp), -41.28% in FY2023 (-13.25 pp), -28.04% in FY2022 (-11.81 pp) and -16.22% in FY2021 (+64.00 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between -766.68% (Q4 2025) and -10.03% (Q1 2022) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has declined for four straight quarters, with an average year-over-year change of -173.08 percentage points over the last seven quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q4 2021 (a gain of 72.95 percentage points); the worst was Q4 2025 (a drop of 725.68 percentage points).
- Per Business Quant data, POLA's Return on Capital Employed [ROCE] in the three quarters before Q1 2026 was -766.68% (Q4 2025), -159.71% (Q3 2025) and -57.42% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn | 22.25% |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn | 25.53% |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn | 12.64% |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn | 17.64% |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn | 18.67% |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn | 15.15% |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn | 38.87% |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn | 31.72% |
| 10 | Polar Power | 1.03 Mn | 615,154.72 | -337,000.00 | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -387.11% |
| Dec 31, 2025 | -766.68% |
| Sep 30, 2025 | -159.71% |
| Jun 30, 2025 | -57.42% |
| Mar 31, 2025 | -44.10% |
| Dec 31, 2024 | -41.00% |
| Sep 30, 2024 | -34.15% |
| Jun 30, 2024 | -45.38% |
| Mar 31, 2024 | -52.20% |
| Dec 31, 2023 | -36.06% |
| Sep 30, 2023 | -25.69% |
| Jun 30, 2023 | -28.17% |
| Mar 31, 2023 | -32.08% |
| Dec 31, 2022 | -29.30% |
| Sep 30, 2022 | -18.45% |
| Jun 30, 2022 | -10.32% |
| Mar 31, 2022 | -10.03% |
| Dec 31, 2021 | -13.08% |
| Sep 30, 2021 | -29.55% |
| Jun 30, 2021 | -48.07% |
Polar Power Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=POLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=POLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();