Polar Power (POLA) EPS (Diluted) (2020 - 2026)
Polar Power (POLA) recorded EPS (Diluted) of -$0.49 in Q2 2026, compared with -$0.11 a year earlier.
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Analysis
Polar Power (POLA) EPS (Diluted) (2020 - 2026) Analysis & Trends
On a TTM basis, Polar Power's EPS (Diluted) came in at -$2.58 as of Jun 30, 2026; for FY2025, it came in at -$3.59.
- Across earlier years, EPS (Diluted) came in at -$1.86 in FY2024, -$3.45 in FY2023, -$3.04 in FY2022 and -$0.77 in FY2021.
- Quarterly EPS (Diluted) has ranged from -$1.66 in Q4 2023 to $0.51 in Q3 2021 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$0.05 (Q1 2026), -$1.38 (Q4 2025) and -$1.63 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 7.77 |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 0.69 |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 5.09 |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 2.11 |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 8.52 |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 1.27 |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.28 |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.79 |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 2.84 |
| 10 | Polar Power | 4.61 Mn | 4.20 Mn | -337,000.00 | -0.49 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.49 |
| Mar 31, 2026 | -0.05 |
| Dec 31, 2025 | -1.38 |
| Sep 30, 2025 | -1.63 |
| Jun 30, 2025 | -0.11 |
| Mar 31, 2025 | -0.50 |
| Dec 31, 2024 | -1.22 |
| Sep 30, 2024 | 0.01 |
| Jun 30, 2024 | 0.20 |
| Mar 31, 2024 | -0.85 |
| Dec 31, 2023 | -1.66 |
| Sep 30, 2023 | -1.00 |
| Jun 30, 2023 | -0.24 |
| Mar 31, 2023 | -0.60 |
| Dec 31, 2022 | -0.73 |
| Sep 30, 2022 | -1.30 |
| Jun 30, 2022 | -0.40 |
| Mar 31, 2022 | -0.61 |
| Dec 31, 2021 | 0.23 |
| Sep 30, 2021 | 0.51 |
API Access
Polar Power EPS (Diluted) 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=eps-diluted&ticker=POLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=POLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();