Andretti Acquisition (POLE) Change in Accured Expenses (2025 - 2026)
Andretti Acquisition's Change in Accured Expenses came in at -$2,365 for Q2 2026, compared with -$29,130 a year earlier.
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Analysis
Andretti Acquisition (POLE) Change in Accured Expenses (2025 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Andretti Acquisition reported Change in Accured Expenses of -$74,925; for FY2025, it came in at $115,503, up 52.9% from FY2024.
- Going back by year, Change in Accured Expenses was $75,556 in FY2024.
- The five-year range for quarterly Change in Accured Expenses is -$182,019 (Q1 2026) to $96,964 (Q4 2025).
- Business Quant data shows POLE's Change in Accured Expenses at -$182,019 (Q1 2026), $96,964 (Q4 2025) and $12,495 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 67.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | -70.30 Mn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | -77.00 Mn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 36.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 364.00 Mn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | -55.70 Mn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 69.70 Mn |
| 10 | Andretti Acquisition | 633.87 Mn | 633.87 Mn | - | -2,365.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2,365.00 |
| Mar 31, 2026 | -182,019.00 |
| Dec 31, 2025 | 96,964.00 |
| Sep 30, 2025 | 12,495.00 |
| Jun 30, 2025 | -29,130.00 |
| Mar 31, 2025 | 35,174.00 |
API Access
Andretti Acquisition Change in Accured 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=change-in-accured-expenses&ticker=POLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=POLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();