Polaris (PII) Total Non-Current Liabilities (2009 - 2026)
Polaris (PII) recorded Total Non-Current Liabilities of $4.06 billion in Q2 2026, up 4.1% from $3.9 billion a year earlier but down 3.2% from the prior quarter.
Polaris (PII) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Polaris reported Total Non-Current Liabilities of $3.75 billion, down 4.6% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $3.94 billion in FY2024 (+3.7%), $3.8 billion in FY2023 (-1.2%), $3.85 billion in FY2022 (+5.5%) and $3.64 billion in FY2021 (+9.7%).
- Quarterly Total Non-Current Liabilities has ranged from $3.47 billion in Q3 2021 to $4.2 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in four of the last eight quarters, with growth averaging 0.1%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 23.8% in Q2 2022, against a decline of 5.5% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.2 billion (Q1 2026), $3.75 billion (Q4 2025) and $3.85 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 47.48 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 3.42 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 5.63 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 5.36 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 122.27 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 219.21 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 8.76 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 74.97 Bn |
| 10 | Polaris | 2.97 Bn | 1.91 Bn | - | 4.06 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.06 Bn |
| Mar 31, 2026 | 4.20 Bn |
| Dec 31, 2025 | 3.75 Bn |
| Sep 30, 2025 | 3.85 Bn |
| Jun 30, 2025 | 3.90 Bn |
| Mar 31, 2025 | 3.94 Bn |
| Dec 31, 2024 | 3.94 Bn |
| Sep 30, 2024 | 3.99 Bn |
| Jun 30, 2024 | 4.07 Bn |
| Mar 31, 2024 | 3.89 Bn |
| Dec 31, 2023 | 3.80 Bn |
| Sep 30, 2023 | 4.11 Bn |
| Jun 30, 2023 | 3.94 Bn |
| Mar 31, 2023 | 3.86 Bn |
| Dec 31, 2022 | 3.85 Bn |
| Sep 30, 2022 | 3.91 Bn |
| Jun 30, 2022 | 3.99 Bn |
| Mar 31, 2022 | 3.82 Bn |
| Dec 31, 2021 | 3.64 Bn |
| Sep 30, 2021 | 3.47 Bn |
Polaris Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=PII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=PII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();