Polaris (PII) Other Accumulated Expenses (2009 - 2026)
Polaris (PII) recorded Other Accumulated Expenses of $35.9 million in Q2 2026, down 14.7% from $42.1 million a year earlier but up 8.8% from the prior quarter.
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Analysis
Polaris (PII) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Polaris reported Other Accumulated Expenses of $40.5 million, up 11.3% from FY2024.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of -32.7% (FY2020 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $36.4 million in FY2024 (-15.5%), $43.1 million in FY2023 (+40.8%), $30.6 million in FY2022 (-88.6%) and $268.1 million in FY2021 (-8.3%).
- Quarterly Other Accumulated Expenses has ranged from $30.6 million in Q4 2022 to $268.1 million in Q4 2021 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses rose in three of the last eight quarters, with an average decline of 2.8%.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 40.8% in Q4 2023, against a decline of 88.6% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $33 million (Q1 2026), $40.5 million (Q4 2025) and $37.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn |
| 10 | Polaris | 3.06 Bn | 2.00 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.90 Mn |
| Mar 31, 2026 | 33.00 Mn |
| Dec 31, 2025 | 40.50 Mn |
| Sep 30, 2025 | 37.90 Mn |
| Jun 30, 2025 | 42.10 Mn |
| Mar 31, 2025 | 37.90 Mn |
| Dec 31, 2024 | 36.40 Mn |
| Sep 30, 2024 | 40.10 Mn |
| Jun 30, 2024 | 41.20 Mn |
| Mar 31, 2024 | 39.50 Mn |
| Dec 31, 2023 | 43.10 Mn |
| Sep 30, 2023 | 34.40 Mn |
| Jun 30, 2023 | 31.90 Mn |
| Mar 31, 2023 | 42.70 Mn |
| Dec 31, 2022 | 30.60 Mn |
| Mar 31, 2022 | 244.30 Mn |
| Dec 31, 2021 | 268.10 Mn |
| Sep 30, 2021 | 255.30 Mn |
| Jun 30, 2021 | 288.40 Mn |
| Mar 31, 2021 | 283.20 Mn |
API Access
Polaris Other Accumulated Expenses 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=other-accumulated-expenses&ticker=PII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=PII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();