Polaris (PII) Long-Term Debt Repayments (2009 - 2026)
Polaris' Long-Term Debt Repayments was $6.7 million in Q2 2026, down 98.1% from $359.3 million a year earlier and unchanged from the prior quarter.
Polaris (PII) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Polaris' Long-Term Debt Repayments was $3.33 billion through Jun 30, 2026, up 37.0% year-over-year; for FY2025, it came in at $3.69 billion, up 4.4% from FY2024.
- Long-Term Debt Repayments has now increased for five consecutive years, with a five-year compound annual growth rate of 18.0% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $3.53 billion in FY2024 (+20.5%), $2.93 billion in FY2023 (+7.3%), $2.73 billion in FY2022 (+31.7%) and $2.07 billion in FY2021 (+28.6%).
- Quarterly Long-Term Debt Repayments has moved between $6.7 million (Q1 2026) and $1.82 billion (Q3 2025) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in three of the last eight quarters, with growth averaging 2.9%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q3 2021 (growth of 626.7%); the worst was Q1 2025 (a decline of 99.0%).
- Per Business Quant data, PII's Long-Term Debt Repayments in the three quarters before Q2 2026 was $6.7 million (Q1 2026), $1.5 billion (Q4 2025) and $1.82 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,248.20 Bn | 1,074.23 Bn | 4.75 Bn | 411.00 Mn |
| 2 | Ferrari | 70.68 Bn | 63.17 Bn | 1.18 Bn | -28.57 Mn |
| 3 | General Motors | 66.36 Bn | -38.25 Bn | 9.28 Bn | 9.01 Bn |
| 4 | Ford Motor | 47.39 Bn | -95.11 Bn | 6.08 Bn | 11.78 Bn |
| 5 | Honda Motor | 45.29 Bn | -104.52 Bn | 8.46 Bn | - |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | -21.37 Bn |
| 7 | Magna International | 17.95 Bn | 11.97 Bn | 1.61 Bn | -5.00 Mn |
| 8 | Rivian Automotive | 16.53 Bn | -6.78 Bn | 179.00 Mn | - |
| 9 | Stellantis | 12.20 Bn | -152.45 Bn | 5.55 Bn | -3.27 Bn |
| 10 | Polaris | 3.11 Bn | 2.05 Bn | - | 6.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.70 Mn |
| Mar 31, 2026 | 6.70 Mn |
| Dec 31, 2025 | 1.50 Bn |
| Sep 30, 2025 | 1.82 Bn |
| Jun 30, 2025 | 359.30 Mn |
| Mar 31, 2025 | 6.90 Mn |
| Dec 31, 2024 | 955.50 Mn |
| Sep 30, 2024 | 1.11 Bn |
| Jun 30, 2024 | 785.90 Mn |
| Mar 31, 2024 | 676.70 Mn |
| Dec 31, 2023 | 1.18 Bn |
| Sep 30, 2023 | 403.40 Mn |
| Jun 30, 2023 | 821.00 Mn |
| Mar 31, 2023 | 528.40 Mn |
| Dec 31, 2022 | 1.70 Bn |
| Sep 30, 2022 | 129.50 Mn |
| Jun 30, 2022 | 478.30 Mn |
| Mar 31, 2022 | 420.20 Mn |
| Dec 31, 2021 | 896.60 Mn |
| Sep 30, 2021 | 557.40 Mn |
Polaris Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=PII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();