Andretti Acquisition (POLE) Change in Accrued Expenses (2024 - 2026)
Andretti Acquisition's Change in Accrued 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 Accrued Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Andretti Acquisition reported Change in Accrued Expenses of -$74,925; for FY2025, it came in at $115,503, up 52.9% from FY2024.
- Going back by year, Change in Accrued Expenses was $75,556 in FY2024.
- The five-year range for quarterly Change in Accrued Expenses is -$182,019 (Q1 2026) to $96,964 (Q4 2025).
- Business Quant data shows POLE's Change in Accrued 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 Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 306.80 Mn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - | 3.00 Bn |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn | 99.00 Mn |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - | 49.00 Mn |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn | 79.00 Mn |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - | - |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn | -12.60 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - | 1.17 Bn |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - | 37.50 Mn |
| 10 | Andretti Acquisition | 633.87 Mn | 633.24 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 |
| Sep 30, 2024 | 78,083.00 |
API Access
Andretti Acquisition Change in Accrued 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();