Spark I Acquisition (SPKLF) Total Non-Current Liabilities (2023 - 2026)
Spark I Acquisition's Total Non-Current Liabilities was $32.37 million in Q2 2026, down 71.2% from $112.56 million a year earlier.
Spark I Acquisition (SPKLF) Total Non-Current Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Spark I Acquisition came in at $29.01 million, down 73.2% from FY2024.
- In earlier years, Total Non-Current Liabilities was $108.27 million in FY2024 (+6.1%) and $102.09 million in FY2023.
- Quarterly Total Non-Current Liabilities has moved between $28.64 million (Q3 2025) and $112.56 million (Q2 2025) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher 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 | Cme | 109.34 Bn | 97.67 Bn | - | 164.75 Bn |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - | 436.97 Bn |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - | 25.75 Bn |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - | 47.90 Bn |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn | 15.12 Bn |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - | - |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn | 5.23 Bn |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - | 219.74 Bn |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | 148.14 Bn |
| 10 | Spark I Acquisition | 73.98 Mn | 72.72 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=SPKLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SPKLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();