Spark I Acquisition (SPKLF) Shares Outstanding (Diluted) (2022 - 2026)
Spark I Acquisition (SPKLF) posted Weighted Average Shares Outstanding (Diluted) of 6.42 million for Q2 2026, down 75.7% from 26.42 million a year earlier.
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Analysis
Spark I Acquisition (SPKLF) Shares Outstanding (Diluted) (2022 - 2026) Analysis & Trends
For FY2025, Spark I Acquisition's Weighted Average Shares Outstanding (Diluted) came in at 12.7 million, down 22.7% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) shows a three-year compound annual growth rate of 25.5% (FY2022 to FY2025).
- In prior years, Spark I Acquisition's Weighted Average Shares Outstanding (Diluted) was 16.42 million in FY2024 (+82.7%), 8.99 million in FY2023 (+40.0%) and 6.42 million in FY2022.
- Quarterly Weighted Average Shares Outstanding (Diluted) has run from a low of 6.42 million in Q4 2022 to a high of 26.42 million in Q2 2025 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) increased in three of the last seven quarters, with growth averaging 22.6%.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding (Diluted) in the past five years was Q3 2024, with growth of 155.7%; the weakest was Q2 2026, with a decline of 75.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 358.64 Mn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - | 686.91 Mn |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn | 563.00 Mn |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - | 911.00 Mn |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn | 563.31 Mn |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - | 279.29 Mn |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn | 104.70 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - | 453.92 Mn |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - | 183.17 Mn |
| 10 | Spark I Acquisition | 74.37 Mn | 73.11 Mn | - | 6.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.42 Mn |
| Mar 31, 2026 | 10.90 Mn |
| Dec 31, 2025 | 12.70 Mn |
| Sep 30, 2025 | 9.42 Mn |
| Jun 30, 2025 | 26.42 Mn |
| Mar 31, 2025 | 26.42 Mn |
| Dec 31, 2024 | 16.42 Mn |
| Sep 30, 2024 | 16.42 Mn |
| Jun 30, 2024 | 16.42 Mn |
| Mar 31, 2024 | 16.42 Mn |
| Dec 31, 2023 | 8.99 Mn |
| Sep 30, 2023 | 6.42 Mn |
| Jun 30, 2023 | 6.42 Mn |
| Mar 31, 2023 | 6.42 Mn |
| Dec 31, 2022 | 6.42 Mn |
| Sep 30, 2022 | 6.42 Mn |
API Access
Spark I Acquisition Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=SPKLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=SPKLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();