Massimo (MAMO) Total Current Liabilities (2022 - 2026)
Massimo (MAMO) recorded Total Current Liabilities of $20.14 million in the quarter ended Jun 30, 2026, up 3.9% from $19.39 million a year earlier and up 21.2% from the prior quarter.
Massimo (MAMO) Total Current Liabilities (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Massimo reported Total Current Liabilities of $22.25 million, down 13.5% from the prior year.
- Annual Total Current Liabilities has a three-year compound annual growth rate of -10.6% (years ended Dec 2022 to Dec 2025).
- Across earlier years, Total Current Liabilities came in at $25.74 million in the year ended Dec 31, 2024 (+36.7%), $18.83 million in the year ended Dec 31, 2023 (-39.5%) and $31.13 million in the year ended Dec 31, 2022.
- Quarterly Total Current Liabilities has ranged from $16.62 million in the quarter ended Mar 31, 2026 to $31.13 million in the quarter ended Dec 31, 2022 over the past five years.
- On a year-over-year basis, Total Current Liabilities rose in three of the last seven quarters, with an average decline of 3.2%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 36.7% in the quarter ended Dec 31, 2024, against a decline of 39.5% in the quarter ended Dec 31, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.62 million (quarter ended Mar 31, 2026), $22.25 million (quarter ended Dec 31, 2025) and $16.73 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,142.14 Bn | 976.70 Bn | 4.75 Bn | 35.43 Bn |
| 2 | Toyota Motor | 240.48 Bn | -166.26 Bn | 20.95 Bn | 208.54 Bn |
| 3 | Ferrari | 149.20 Bn | 141.65 Bn | 1.18 Bn | - |
| 4 | Honda Motor | 145.55 Bn | 12.93 Bn | 8.46 Bn | 64.48 Bn |
| 5 | General Motors | 70.62 Bn | -34.25 Bn | 7.33 Bn | 96.83 Bn |
| 6 | Ford Motor | 48.18 Bn | -94.29 Bn | 6.08 Bn | 107.93 Bn |
| 7 | Rivian Automotive | 20.39 Bn | -2.90 Bn | 179.00 Mn | 3.62 Bn |
| 8 | Magna International | 18.08 Bn | 15.64 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.84 Bn | -153.16 Bn | 5.55 Bn | 101.34 Bn |
| 10 | Massimo | 42.47 Mn | 25.31 Mn | 7.28 Mn | 20.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.14 Mn |
| Mar 31, 2026 | 16.62 Mn |
| Dec 31, 2025 | 22.25 Mn |
| Sep 30, 2025 | 16.73 Mn |
| Jun 30, 2025 | 19.39 Mn |
| Mar 31, 2025 | 19.56 Mn |
| Dec 31, 2024 | 25.74 Mn |
| Sep 30, 2024 | 26.28 Mn |
| Jun 30, 2024 | 18.12 Mn |
| Mar 31, 2024 | 20.64 Mn |
| Dec 31, 2023 | 18.83 Mn |
| Dec 31, 2022 | 31.13 Mn |
Massimo Total 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-current-liabilities&ticker=MAMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=MAMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();