Massimo (MAMO) Other Operating Expenses (2023 - 2026)
Massimo's Other Operating Expenses came in at $1.7 million for the quarter ended Jun 30, 2026, down 20.9% from $2.15 million a year earlier but up 34.8% from the prior quarter.
Massimo (MAMO) Other Operating Expenses (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Massimo reported Other Operating Expenses of $6.35 million, down 25.7% year-over-year; for the year ended Dec 31, 2025, it was $7.41 million, down 30.0% from the prior year.
- Other Operating Expenses carries a three-year compound annual growth rate of -5.1% (years ended Dec 2022 to Dec 2025).
- Going back by year, Other Operating Expenses was $10.58 million in the year ended Dec 31, 2024 (+8.4%), $9.76 million in the year ended Dec 31, 2023 (+12.6%) and $8.67 million in the year ended Dec 31, 2022.
- The five-year range for quarterly Other Operating Expenses is $1.16 million (the quarter ended Sep 30, 2025) to $3.84 million (the quarter ended Jun 30, 2024).
- Year-over-year, Other Operating Expenses increased in two of the last eight quarters, with an average decline of 20.7%.
- The fastest year-over-year change in Other Operating Expenses over five years came in the quarter ended Jun 30, 2024 (growth of 54.4%), and the weakest in the quarter ended Sep 30, 2025 (a decline of 56.3%).
- Business Quant data shows MAMO's Other Operating Expenses at $1.26 million (quarter ended Mar 31, 2026), $2.22 million (quarter ended Dec 31, 2025) and $1.16 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn |
| 10 | Massimo | 39.56 Mn | 22.39 Mn | 7.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.70 Mn |
| Mar 31, 2026 | 1.26 Mn |
| Dec 31, 2025 | 2.22 Mn |
| Sep 30, 2025 | 1.16 Mn |
| Jun 30, 2025 | 2.15 Mn |
| Mar 31, 2025 | 1.87 Mn |
| Dec 31, 2024 | -71,441.00 |
| Sep 30, 2024 | -3.57 Mn |
| Jun 30, 2024 | 3.84 Mn |
| Mar 31, 2024 | 2.21 Mn |
| Dec 31, 2023 | 3.22 Mn |
| Sep 30, 2023 | 2.10 Mn |
| Jun 30, 2023 | 2.49 Mn |
| Mar 31, 2023 | 1.95 Mn |
Massimo Other 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=other-operating-expenses&ticker=MAMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=MAMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();