Spark I Acquisition (SPKL) Total Non-Current Liabilities (2023 - 2026)
Spark I Acquisition's Total Non-Current Liabilities came in at $32.37 million for Q2 2026, down 71.2% from $112.56 million a year earlier.
Spark I Acquisition (SPKL) Total Non-Current Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, Spark I Acquisition's Total Non-Current Liabilities was $29.01 million, down 73.2% from FY2024.
- Going back by year, Total Non-Current Liabilities was $108.27 million in FY2024 (+6.1%) and $102.09 million in FY2023.
- The five-year range for quarterly Total Non-Current Liabilities is $28.64 million (Q3 2025) to $112.56 million (Q2 2025).
- Year-over-year, Total Non-Current Liabilities increased in three of the last six quarters, with an average decline of 32.9%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.48 Bn | 85.58 Bn | - | 46.75 Bn |
| 2 | Bank of New York Mellon | 99.71 Bn | 39.09 Bn | - | 468.26 Bn |
| 3 | Cme | 94.57 Bn | 94.57 Bn | - | 167.36 Bn |
| 4 | Intercontinental Exchange | 85.38 Bn | 79.19 Bn | - | 24.02 Bn |
| 5 | Nasdaq | 51.62 Bn | 49.05 Bn | 1.50 Bn | 15.10 Bn |
| 6 | State Street | 48.84 Bn | 48.84 Bn | - | - |
| 7 | Interactive Brokers | 38.83 Bn | 32.29 Bn | - | 224.85 Bn |
| 8 | Northern Trust | 31.65 Bn | 31.65 Bn | - | 161.36 Bn |
| 9 | Cboe Global Markets | 27.38 Bn | 19.03 Bn | 731.60 Mn | 4.94 Bn |
| 10 | Spark I Acquisition | 120.17 Mn | 117.94 Mn | - | 32.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.37 Mn |
| Dec 31, 2025 | 29.01 Mn |
| Sep 30, 2025 | 28.64 Mn |
| Jun 30, 2025 | 112.56 Mn |
| Mar 31, 2025 | 110.10 Mn |
| Dec 31, 2024 | 108.27 Mn |
| Sep 30, 2024 | 106.16 Mn |
| Jun 30, 2024 | 104.79 Mn |
| Mar 31, 2024 | 103.51 Mn |
| Dec 31, 2023 | 102.09 Mn |
Spark I Acquisition Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SPKL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SPKL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();