Massimo (MAMO) Total Liabilities (2022 - 2026)
Massimo's Total Liabilities was $24.65 million in the quarter ended Jun 30, 2026, down 4.4% from $25.78 million a year earlier but up 14.1% from the prior quarter.
Massimo (MAMO) Total Liabilities (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Total Liabilities at Massimo came in at $27.72 million, down 16.5% from the prior year.
- Total Liabilities shows a three-year compound annual growth rate of -4.5% (years ended Dec 2022 to Dec 2025).
- In earlier years, Total Liabilities was $33.19 million in the year ended Dec 31, 2024 (+20.9%), $27.46 million in the year ended Dec 31, 2023 (-13.6%) and $31.79 million in the year ended Dec 31, 2022.
- Quarterly Total Liabilities has moved between $21.61 million (the quarter ended Mar 31, 2026) and $34.51 million (the quarter ended Sep 30, 2024) over five years.
- Compared with a year earlier, Total Liabilities has declined for four straight quarters, with an average decline of 8.5% over the last seven quarters.
- The best year-over-year quarter for Total Liabilities over five years was the quarter ended Dec 31, 2024 (growth of 20.9%); the worst was the quarter ended Sep 30, 2025 (a decline of 34.3%).
- Per Business Quant data, MAMO's Total Liabilities in the three quarters before the quarter ended Jun 30, 2026 was $21.61 million (quarter ended Mar 31, 2026), $27.72 million (quarter ended Dec 31, 2025) and $22.66 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,221.71 Bn | 1,043.93 Bn | 5.49 Bn | 67.68 Bn |
| 2 | General Motors | 77.93 Bn | -26.68 Bn | 9.28 Bn | 224.67 Bn |
| 3 | Ferrari | 74.00 Bn | 67.46 Bn | - | 6.72 Bn |
| 4 | Ford Motor | 49.18 Bn | -85.24 Bn | 7.38 Bn | 255.52 Bn |
| 5 | Toyota Motor | 28.58 Bn | -344.44 Bn | - | 410.43 Bn |
| 6 | Rivian Automotive | 20.30 Bn | -1.42 Bn | 176.00 Mn | 10.01 Bn |
| 7 | Magna International | 17.50 Bn | 12.21 Bn | - | 13.12 Bn |
| 8 | Stellantis | 12.66 Bn | -174.61 Bn | - | 166.34 Bn |
| 9 | Li Auto | 12.65 Bn | -27.40 Bn | - | 11.60 Bn |
| 10 | Massimo | 39.14 Mn | 21.97 Mn | 7.28 Mn | 24.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.65 Mn |
| Mar 31, 2026 | 21.61 Mn |
| Dec 31, 2025 | 27.72 Mn |
| Sep 30, 2025 | 22.66 Mn |
| Jun 30, 2025 | 25.78 Mn |
| Mar 31, 2025 | 26.45 Mn |
| Dec 31, 2024 | 33.19 Mn |
| Sep 30, 2024 | 34.51 Mn |
| Jun 30, 2024 | 25.14 Mn |
| Mar 31, 2024 | 29.13 Mn |
| Dec 31, 2023 | 27.46 Mn |
| Dec 31, 2022 | 31.79 Mn |
Massimo 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=MAMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MAMO", "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=MAMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();