Polaris (PII) Land & Improvements (2009 - 2026)
Polaris (PII) posted Land & Improvements of $654.3 million for Q2 2026, down 7.9% from $710.4 million a year earlier and down 2.0% from the prior quarter.
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Analysis
Polaris (PII) Land & Improvements (2009 - 2026) Analysis & Trends
At the end of FY2025, Polaris' Land & Improvements came in at $665.8 million, down 3.7% from FY2024.
- Annual Land & Improvements shows a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- In prior years, Polaris' Land & Improvements was $691.2 million in FY2024 (+5.8%), $653.4 million in FY2023 (+21.2%), $539.1 million in FY2022 (+7.6%) and $501.1 million in FY2021 (-3.1%).
- The Q2 2026 figure stands as the lowest quarterly Land & Improvements since Q4 2023.
- On a year-over-year basis, Land & Improvements has declined in each of the last three quarters, with growth averaging 1.8% over the last eight quarters.
- The strongest year-over-year quarter for Land & Improvements in the past five years was Q3 2023, with growth of 22.4%; the weakest was Q2 2026, with a decline of 7.9%.
- According to Business Quant data, Land & Improvements for the three prior quarters was $667.5 million (Q1 2026), $665.8 million (Q4 2025) and $715.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | - |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 8.55 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | - |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | - |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | - |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | - |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | - |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | - |
| 10 | Polaris | 2.97 Bn | 1.91 Bn | - | 654.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 654.30 Mn |
| Mar 31, 2026 | 667.50 Mn |
| Dec 31, 2025 | 665.80 Mn |
| Sep 30, 2025 | 715.50 Mn |
| Jun 30, 2025 | 710.40 Mn |
| Mar 31, 2025 | 697.60 Mn |
| Dec 31, 2024 | 691.20 Mn |
| Sep 30, 2024 | 689.90 Mn |
| Jun 30, 2024 | 678.10 Mn |
| Mar 31, 2024 | 661.00 Mn |
| Dec 31, 2023 | 653.40 Mn |
| Sep 30, 2023 | 622.70 Mn |
| Jun 30, 2023 | 586.90 Mn |
| Mar 31, 2023 | 567.60 Mn |
| Dec 31, 2022 | 539.10 Mn |
| Sep 30, 2022 | 508.90 Mn |
| Jun 30, 2022 | 512.40 Mn |
| Mar 31, 2022 | 535.20 Mn |
| Dec 31, 2021 | 501.10 Mn |
| Dec 31, 2020 | 517.20 Mn |
API Access
Polaris Land & Improvements 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=land-and-improvements&ticker=PII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=PII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();