Polaris (PII) Accumulated Expenses (2021 - 2026)
Polaris (PII) recorded Accumulated Expenses of $1.19 billion in Q2 2026, down 5.4% from $1.25 billion a year earlier and down 3.3% from the prior quarter.
Polaris (PII) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Polaris reported Accumulated Expenses of $1.36 billion, up 7.6% from FY2024.
- Annual Accumulated Expenses has increased for four straight years, with a four-year compound annual growth rate of 15.7% (FY2021 to FY2025).
- Across earlier years, Accumulated Expenses came in at $1.26 billion in FY2024 (+12.1%), $1.12 billion in FY2023 (+25.3%), $896.8 million in FY2022 (+18.5%) and $756.5 million in FY2021.
- The Q2 2026 figure is the lowest quarterly Accumulated Expenses since Q1 2025.
- On a year-over-year basis, Accumulated Expenses rose in seven of the last eight quarters, with growth averaging 10.1%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 37.4% in Q2 2023, against a decline of 5.4% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.23 billion (Q1 2026), $1.36 billion (Q4 2025) and $1.27 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,146.25 Bn | 980.81 Bn | 4.75 Bn |
| 2 | Toyota Motor | 244.39 Bn | -162.35 Bn | 20.95 Bn |
| 3 | Ferrari | 143.73 Bn | 136.18 Bn | 1.18 Bn |
| 4 | Honda Motor | 143.33 Bn | 10.71 Bn | 8.46 Bn |
| 5 | General Motors | 69.61 Bn | -35.26 Bn | 7.33 Bn |
| 6 | Ford Motor | 48.10 Bn | -94.36 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.10 Bn | -3.19 Bn | 179.00 Mn |
| 8 | Magna International | 18.07 Bn | 15.63 Bn | 1.61 Bn |
| 9 | Stellantis | 13.56 Bn | -152.44 Bn | 5.55 Bn |
| 10 | Polaris | 2.98 Bn | 1.92 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.19 Bn |
| Mar 31, 2026 | 1.23 Bn |
| Dec 31, 2025 | 1.36 Bn |
| Sep 30, 2025 | 1.27 Bn |
| Jun 30, 2025 | 1.25 Bn |
| Mar 31, 2025 | 1.12 Bn |
| Dec 31, 2024 | 1.26 Bn |
| Sep 30, 2024 | 1.06 Bn |
| Jun 30, 2024 | 1.09 Bn |
| Mar 31, 2024 | 988.10 Mn |
| Dec 31, 2023 | 1.12 Bn |
| Sep 30, 2023 | 967.60 Mn |
| Jun 30, 2023 | 932.30 Mn |
| Mar 31, 2023 | 832.00 Mn |
| Dec 31, 2022 | 896.80 Mn |
| Sep 30, 2022 | 772.90 Mn |
| Jun 30, 2022 | 678.40 Mn |
| Dec 31, 2021 | 756.50 Mn |
Polaris 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=accumulated-expenses&ticker=PII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=PII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();