Mixed Martial Arts (MMA) Total Liabilities (2023 - 2025)
Mixed Martial Arts (MMA) reported Total Liabilities of $4.17 million for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 14.2% from $3.65 million a year earlier.
Mixed Martial Arts (MMA) Total Liabilities (2023 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Mixed Martial Arts posted Total Liabilities of $5.29 million, up 91.5% from FY2024.
- By fiscal year, Total Liabilities came in at $2.76 million in FY2024 (-92.8%) and $38.37 million in FY2023.
- Five-year quarterly Total Liabilities spans a low of $2.76 million in fiscal Q4 2024 and a high of $38.37 million in fiscal Q4 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.14 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 3.04 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.43 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 664.21 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 541.14 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.19 Bn |
| 10 | Mixed Martial Arts | 5.48 Mn | 2.98 Mn | - | 4.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.17 Mn |
| Jun 30, 2025 | 5.22 Mn |
| Mar 31, 2025 | 4.62 Mn |
| Dec 31, 2024 | 3.65 Mn |
| Jun 30, 2024 | 2.76 Mn |
| Jun 30, 2023 | 38.37 Mn |
Mixed Martial Arts Total 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-liabilities&ticker=MMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MMA", "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-liabilities&ticker=MMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();