Andretti Acquisition (POLE) Accumulated Expenses (2024 - 2026)
Andretti Acquisition (POLE) reported Accumulated Expenses of $6,675 for Q2 2026, down 91.8% from $81,600 a year earlier and down 26.2% from the prior quarter.
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Analysis
Andretti Acquisition (POLE) Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2025, Andretti Acquisition posted Accumulated Expenses of $191,059, up 152.9% from FY2024.
- By year, Accumulated Expenses came in at $75,556 in FY2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at $9,040 (Q1 2026), $191,059 (Q4 2025) and $94,095 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - |
| 10 | Andretti Acquisition | 633.87 Mn | 633.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6,675.00 |
| Mar 31, 2026 | 9,040.00 |
| Dec 31, 2025 | 191,059.00 |
| Sep 30, 2025 | 94,095.00 |
| Jun 30, 2025 | 81,600.00 |
| Mar 31, 2025 | 110,730.00 |
| Dec 31, 2024 | 75,556.00 |
| Sep 30, 2024 | 78,083.00 |
| Jun 30, 2024 | 5,000.00 |
API Access
Andretti Acquisition 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=POLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "POLE", "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=POLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();