Spark I Acquisition (SPKL) Accumulated Expenses (2022 - 2026)
Spark I Acquisition's Accumulated Expenses was $2.08 million in Q2 2026, up 146.6% from $843,123 a year earlier.
Analysis
Spark I Acquisition (SPKL) Accumulated Expenses (2022 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Spark I Acquisition came in at $604,052, up 19.6% from FY2024.
- Accumulated Expenses shows a three-year compound annual growth rate of 3014.2% (FY2022 to FY2025).
- In earlier years, Accumulated Expenses was $505,218 in FY2024 (+23.6%), $408,676 in FY2023 and $20.00 in FY2022.
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn |
| 10 | Spark I Acquisition | 119.02 Mn | 116.79 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.08 Mn |
| Dec 31, 2025 | 604,052.00 |
| Sep 30, 2025 | 573,060.00 |
| Jun 30, 2025 | 843,123.00 |
| Mar 31, 2025 | 606,623.00 |
| Dec 31, 2024 | 505,218.00 |
| Sep 30, 2024 | 455,374.00 |
| Jun 30, 2024 | 446,444.00 |
| Mar 31, 2024 | 504,202.00 |
| Dec 31, 2023 | 408,676.00 |
| Sep 30, 2023 | 18,378.00 |
| Dec 31, 2022 | 20.00 |
API Access
Spark I 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=SPKL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SPKL", "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=SPKL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();