Spark I Acquisition (SPKLF) Net Income (2022 - 2026)
Spark I Acquisition (SPKLF) posted Net Income of -$1.88 million for Q2 2026, compared with $362,583 a year earlier.
Spark I Acquisition (SPKLF) Net Income (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Income at Spark I Acquisition was -$2.13 million; for FY2025, it was $293,600, down 90.7% from FY2024.
- In prior years, Spark I Acquisition's Net Income was $3.15 million in FY2024, -$730,903 in FY2023 and -$1.33 million in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Net Income in data going back to Q4 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 1.04 Bn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - | 1.69 Bn |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn | 956.00 Mn |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - | 468.00 Mn |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn | 540.00 Mn |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - | 1.09 Bn |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn | 428.20 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - | 1.35 Bn |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - | 642.90 Mn |
| 10 | Spark I Acquisition | 74.37 Mn | 73.11 Mn | - | -1.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.65 Mn |
| Mar 31, 2026 | -94,195.00 |
| Dec 31, 2025 | -136,087.00 |
| Sep 30, 2025 | -475,225.00 |
| Jun 30, 2025 | 362,583.00 |
| Mar 31, 2025 | 542,329.00 |
| Dec 31, 2024 | 607,264.00 |
| Sep 30, 2024 | 901,986.00 |
| Jun 30, 2024 | 870,843.00 |
| Mar 31, 2024 | 770,378.00 |
| Dec 31, 2023 | 513,638.00 |
| Sep 30, 2023 | -448,131.00 |
| Jun 30, 2023 | -443,054.00 |
| Mar 31, 2023 | -353,356.00 |
| Dec 31, 2022 | -440,550.00 |
Spark I Acquisition Net Income 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=net-income&ticker=SPKLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=SPKLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();