Polaris (PII) Property, Plant & Equipment (Net) (2009 - 2026)
Polaris' Property, Plant & Equipment (Net) came in at $975.5 million for Q2 2026, down 15.0% from $1.15 billion a year earlier and down 2.1% from the prior quarter.
Polaris (PII) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Polaris' Property, Plant & Equipment (Net) was $1.03 billion, down 13.2% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $1.19 billion in FY2024 (-1.2%), $1.2 billion in FY2023 (+18.0%), $1.02 billion in FY2022 (+9.8%) and $927.7 million in FY2021 (+4.4%).
- The Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) since Q3 2022.
- Year-over-year, Property, Plant & Equipment (Net) has declined for seven consecutive quarters, with an average decline of 7.5% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q3 2023 (growth of 21.3%), and the weakest in Q2 2026 (a decline of 15.0%).
- Business Quant data shows PII's Property, Plant & Equipment (Net) at $996 million (Q1 2026), $1.03 billion (Q4 2025) and $1.08 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 47.26 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 108.89 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 2.50 Bn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 23.29 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 53.32 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 39.96 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | 5.56 Bn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 8.85 Bn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 53.62 Bn |
| 10 | Polaris | 3.06 Bn | 2.00 Bn | - | 975.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 975.50 Mn |
| Mar 31, 2026 | 996.00 Mn |
| Dec 31, 2025 | 1.03 Bn |
| Sep 30, 2025 | 1.08 Bn |
| Jun 30, 2025 | 1.15 Bn |
| Mar 31, 2025 | 1.16 Bn |
| Dec 31, 2024 | 1.19 Bn |
| Sep 30, 2024 | 1.20 Bn |
| Jun 30, 2024 | 1.21 Bn |
| Mar 31, 2024 | 1.21 Bn |
| Dec 31, 2023 | 1.20 Bn |
| Sep 30, 2023 | 1.16 Bn |
| Jun 30, 2023 | 1.12 Bn |
| Mar 31, 2023 | 1.06 Bn |
| Dec 31, 2022 | 1.02 Bn |
| Sep 30, 2022 | 957.90 Mn |
| Jun 30, 2022 | 939.60 Mn |
| Mar 31, 2022 | 978.20 Mn |
| Dec 31, 2021 | 927.70 Mn |
| Sep 30, 2021 | 931.40 Mn |
Polaris Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=PII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "PII", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=PII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();