Andretti Acquisition (POLE) Operating Expenses (2025 - 2026)
Andretti Acquisition (POLE) recorded Operating Expenses of $167,765 in Q2 2026, down 7.1% from $180,616 a year earlier and down 45.3% from the prior quarter.
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Analysis
Andretti Acquisition (POLE) Operating Expenses (2025 - 2026) Analysis & Trends
On a TTM basis, Andretti Acquisition's Operating Expenses came in at $1.51 million as of Jun 30, 2026; for FY2025, it was $1.41 million, up 365.3% from FY2024.
- Across earlier years, Operating Expenses came in at $303,225 in FY2024.
- Per Business Quant, the preceding three quarters came in at $306,630 (Q1 2026), $767,068 (Q4 2025) and $270,994 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.48 Bn | 85.58 Bn | - | 734.00 Mn |
| 2 | Bank of New York Mellon | 99.71 Bn | 39.09 Bn | - | 3.44 Bn |
| 3 | Cme | 94.57 Bn | 94.57 Bn | - | 599.10 Mn |
| 4 | Intercontinental Exchange | 85.38 Bn | 79.19 Bn | - | 1.28 Bn |
| 5 | Nasdaq | 51.62 Bn | 49.05 Bn | 1.50 Bn | 788.00 Mn |
| 6 | State Street | 48.84 Bn | 48.84 Bn | - | 2.66 Bn |
| 7 | Interactive Brokers | 38.83 Bn | 32.29 Bn | - | 440.00 Mn |
| 8 | Northern Trust | 31.65 Bn | 31.65 Bn | - | 1.64 Bn |
| 9 | Cboe Global Markets | 27.38 Bn | 19.03 Bn | 731.60 Mn | 255.60 Mn |
| 10 | Andretti Acquisition | 632.10 Mn | 632.10 Mn | - | 167,765.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 167,765.00 |
| Mar 31, 2026 | 306,630.00 |
| Dec 31, 2025 | 767,068.00 |
| Sep 30, 2025 | 270,994.00 |
| Jun 30, 2025 | 180,616.00 |
| Mar 31, 2025 | 192,199.00 |
API Access
Andretti Acquisition Operating 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=operating-expenses&ticker=POLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=POLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();