Jaws Mustang Acquisition (JWSMF) Total Non-Current Liabilities (2022 - 2026)
Jaws Mustang Acquisition's Total Non-Current Liabilities came in at $7.49 million for Q2 2026, up 16.2% from $6.45 million a year earlier but down 5.2% from the prior quarter.
Jaws Mustang Acquisition (JWSMF) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, Jaws Mustang Acquisition's Total Non-Current Liabilities was $7.77 million, up 20.9% from FY2024.
- Total Non-Current Liabilities carries a three-year compound annual growth rate of -80.8% (FY2022 to FY2025).
- Going back by year, Total Non-Current Liabilities was $6.43 million in FY2024 (-77.9%), $29.13 million in FY2023 (-97.3%) and $1.09 billion in FY2022.
- The five-year range for quarterly Total Non-Current Liabilities is $6.43 million (Q4 2024) to $1.09 billion (Q4 2022).
- Year-over-year, Total Non-Current Liabilities has increased for three consecutive quarters, with an average decline of 33.3% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2025 (growth of 20.9%), and the weakest in Q4 2023 (a decline of 97.3%).
- Business Quant data shows JWSMF's Total Non-Current Liabilities at $7.9 million (Q1 2026), $7.77 million (Q4 2025) and $6.61 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 165.40 Bn | 111.76 Bn | - | 52.77 Bn |
| 2 | Spdr Gold Trust | 133.61 Bn | -424.39 Bn | - | - |
| 3 | Blackstone | 84.03 Bn | 78.95 Bn | - | 25.35 Bn |
| 4 | Brookfield | 82.79 Bn | -82.59 Bn | 4.47 Bn | 7.37 Bn |
| 5 | Kkr | 80.75 Bn | 47.23 Bn | - | 333.26 Bn |
| 6 | Brookfield Asset Management | 71.44 Bn | 67.69 Bn | - | 10.41 Bn |
| 7 | Apollo Global Management | 66.43 Bn | 4.11 Bn | 10.56 Bn | 433.59 Bn |
| 8 | Wheaton Precious Metals | 61.87 Bn | 57.29 Bn | 687.86 Mn | 2.19 Bn |
| 9 | Franco Nevada | 46.42 Bn | 43.78 Bn | 451.00 Mn | 673.40 Mn |
| 10 | Jaws Mustang Acquisition | 285.32 Mn | 285.32 Mn | - | 7.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.49 Mn |
| Mar 31, 2026 | 7.90 Mn |
| Dec 31, 2025 | 7.77 Mn |
| Sep 30, 2025 | 6.61 Mn |
| Jun 30, 2025 | 6.45 Mn |
| Mar 31, 2025 | 6.78 Mn |
| Dec 31, 2024 | 6.43 Mn |
| Sep 30, 2024 | 22.58 Mn |
| Jun 30, 2024 | 25.07 Mn |
| Mar 31, 2024 | 29.23 Mn |
| Dec 31, 2023 | 29.13 Mn |
| Sep 30, 2023 | 28.29 Mn |
| Jun 30, 2023 | 43.06 Mn |
| Mar 31, 2023 | 45.04 Mn |
| Dec 31, 2022 | 1.09 Bn |
Jaws Mustang 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=JWSMF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "JWSMF", "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=JWSMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();