Spark I Acquisition (SPKLF) Accumulated Expenses (2022 - 2026)
Spark I Acquisition's Accumulated Expenses came in at $2.08 million for Q2 2026, up 146.6% from $843,123 a year earlier.
Analysis
Spark I Acquisition (SPKLF) Accumulated Expenses (2022 - 2026) Analysis & Trends
At the end of FY2025, Spark I Acquisition's Accumulated Expenses was $604,052, up 19.6% from FY2024.
- Accumulated Expenses carries a three-year compound annual growth rate of 3014.2% (FY2022 to FY2025).
- Going back by year, Accumulated Expenses was $505,218 in FY2024 (+23.6%), $408,676 in FY2023 and $20.00 in FY2022.
- The Q2 2026 figure represents 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 | 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 | Spark I Acquisition | 74.37 Mn | 73.11 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.08 Mn |
| Mar 31, 2026 | 569,699.00 |
| 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=SPKLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SPKLF", "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=SPKLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();