Jaws Mustang Acquisition (JWSMF) Operating Expenses (2021 - 2026)
Jaws Mustang Acquisition (JWSMF) posted Operating Expenses of $109,073 for Q2 2026, down 21.5% from $138,996 a year earlier but up 0.2% from the prior quarter.
Jaws Mustang Acquisition (JWSMF) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Jaws Mustang Acquisition was $398,971, down 45.3% year-over-year; for FY2025, it was $462,631, down 65.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 126.5% (FY2020 to FY2025).
- In prior years, Jaws Mustang Acquisition's Operating Expenses was $1.35 million in FY2024 (+5.3%), $1.29 million in FY2023 (-69.3%), $4.19 million in FY2022 (+200.8%) and $1.39 million in FY2021.
- Quarterly Operating Expenses has run from a low of -$1.15 million in Q4 2022 to a high of $4.53 million in Q1 2022 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last six quarters, with an average decline of 48.9% over the last seven quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2022, with growth of 40.3%; the weakest was Q1 2023, with a decline of 85.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $108,814 (Q1 2026), $114,139 (Q4 2025) and $66,945 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 165.40 Bn | 111.76 Bn | - | 4.62 Bn |
| 2 | Spdr Gold Trust | 133.61 Bn | -424.39 Bn | - | 149.76 Mn |
| 3 | Blackstone | 84.03 Bn | 78.95 Bn | - | 2.38 Bn |
| 4 | Brookfield | 82.79 Bn | -82.59 Bn | 4.47 Bn | 14.94 Bn |
| 5 | Kkr | 80.75 Bn | 47.23 Bn | - | 5.41 Bn |
| 6 | Brookfield Asset Management | 71.44 Bn | 67.69 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 66.43 Bn | 4.11 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 61.87 Bn | 57.29 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 46.42 Bn | 43.78 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Jaws Mustang Acquisition | 285.32 Mn | 285.32 Mn | - | 109,073.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 109,073.00 |
| Mar 31, 2026 | 108,814.00 |
| Dec 31, 2025 | 114,139.00 |
| Sep 30, 2025 | 66,945.00 |
| Jun 30, 2025 | 138,996.00 |
| Mar 31, 2025 | 142,551.00 |
| Dec 31, 2024 | 249,172.00 |
| Sep 30, 2024 | 198,698.00 |
| Jun 30, 2024 | 272,570.00 |
| Mar 31, 2024 | 633,880.00 |
| Dec 31, 2023 | 16,636.00 |
| Sep 30, 2023 | 397,411.00 |
| Jun 30, 2023 | 226,564.00 |
| Mar 31, 2023 | 646,140.00 |
| Dec 31, 2022 | -1.15 Mn |
| Sep 30, 2022 | 294,749.00 |
| Jun 30, 2022 | 516,317.00 |
| Mar 31, 2022 | 4.53 Mn |
| Dec 31, 2021 | 485,886.00 |
| Sep 30, 2021 | 413,660.00 |
Jaws Mustang Acquisition Operating Expenses 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=operating-expenses&ticker=JWSMF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=JWSMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();