Mixed Martial Arts (MMA) Cash & Equivalents (2023 - 2025)
Mixed Martial Arts' Cash & Equivalents was $401,326 in fiscal Q2 2026 (quarter ended Dec 31, 2025), down 44.1% from $717,886 a year earlier.
Powered by 
Analysis
Mixed Martial Arts (MMA) Cash & Equivalents (2023 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Cash & Equivalents at Mixed Martial Arts came in at $2.3 million, down 5.8% from FY2024.
- Cash & Equivalents shows a three-year compound annual growth rate of 59.1% (FY2022 to FY2025).
- In earlier fiscal years, Cash & Equivalents was $2.44 million in FY2024 (-34.1%), $3.7 million in FY2023 (+549.6%) and $569,977 in FY2022.
- Quarterly Cash & Equivalents has moved between $45,933 (fiscal Q3 2025) and $3.7 million (fiscal Q4 2023) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 1.81 Bn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 291.39 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 1.02 Bn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 351.45 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 1.18 Bn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 214.40 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 186.11 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 1.27 Bn |
| 10 | Mixed Martial Arts | 4.83 Mn | 2.33 Mn | - | 401,325.89 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 401,325.89 |
| Jun 30, 2025 | 1.34 Mn |
| Mar 31, 2025 | 45,933.02 |
| Dec 31, 2024 | 717,886.09 |
| Jun 30, 2023 | 3.70 Mn |
API Access
Mixed Martial Arts Cash & Equivalents 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=cash-and-equivalents&ticker=MMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();