Polar Power (POLA) Depreciation and Depletion (2016 - 2026)
Polar Power (POLA) posted Depreciation and Depletion of $15,000 for Q2 2026, down 6.3% from $16,000 a year earlier and unchanged from the prior quarter.
Polar Power (POLA) Depreciation and Depletion (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Polar Power was $62,000, down 17.3% year-over-year; for FY2025, it was $65,000, down 59.4% from FY2024.
- Annual Depreciation and Depletion has declined for five consecutive years, with a five-year compound annual growth rate of -35.8% (FY2020 to FY2025).
- In prior years, Polar Power's Depreciation and Depletion was $160,000 in FY2024 (-57.2%), $374,000 in FY2023 (-23.5%), $489,000 in FY2022 (-7.7%) and $530,000 in FY2021 (-10.9%).
- Quarterly Depreciation and Depletion has run from a low of $15,000 in Q1 2026 to a high of $130,000 in Q1 2022 over five years.
- On a year-over-year basis, Depreciation and Depletion has declined in each of the last 12 quarters, with an average decline of 44.0% over the last eight quarters.
- Over the past five years, the year-over-year decline in Depreciation and Depletion ranged from 0.0% (Q2 2023) to 74.6% (Q1 2025).
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $15,000 (Q1 2026), $16,000 (Q4 2025) and $16,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn | - |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn | - |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn | 140.00 Mn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn | 97.00 Mn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn | 95.00 Mn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn | 84.00 Mn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn | 39.80 Mn |
| 10 | Polar Power | 1.03 Mn | 615,154.72 | -337,000.00 | 15,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15,000.00 |
| Mar 31, 2026 | 15,000.00 |
| Dec 31, 2025 | 16,000.00 |
| Sep 30, 2025 | 16,000.00 |
| Jun 30, 2025 | 16,000.00 |
| Mar 31, 2025 | 16,000.00 |
| Dec 31, 2024 | 20,000.00 |
| Sep 30, 2024 | 23,000.00 |
| Jun 30, 2024 | 53,000.00 |
| Mar 31, 2024 | 63,000.00 |
| Dec 31, 2023 | 76,000.00 |
| Sep 30, 2023 | 79,000.00 |
| Jun 30, 2023 | 125,000.00 |
| Mar 31, 2023 | 113,000.00 |
| Dec 31, 2022 | 115,000.00 |
| Sep 30, 2022 | 119,000.00 |
| Jun 30, 2022 | 125,000.00 |
| Mar 31, 2022 | 130,000.00 |
| Dec 31, 2021 | 128,000.00 |
| Sep 30, 2021 | 129,000.00 |
Polar Power Depreciation and Depletion 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=depreciation-and-depletion&ticker=POLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=POLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();