Massimo (MAMO) Operating Expenses (2023 - 2026)
Massimo (MAMO) posted Operating Expenses of $5.62 million for the quarter ended Jun 30, 2026, down 16.4% from $6.72 million a year earlier and down 8.1% from the prior quarter.
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Analysis
Massimo (MAMO) Operating Expenses (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Massimo was $23.05 million, down 13.5% year-over-year; for the year ended Dec 31, 2025, it was $24.97 million, down 8.9% from the prior year.
- Annual Operating Expenses shows a three-year compound annual growth rate of 12.4% (years ended Dec 2022 to Dec 2025).
- In prior years, Massimo's Operating Expenses was $27.41 million in the year ended Dec 31, 2024 (+19.2%), $22.99 million in the year ended Dec 31, 2023 (+30.6%) and $17.6 million in the year ended Dec 31, 2022.
- Quarterly Operating Expenses has run from a low of $4.82 million in the quarter ended Sep 30, 2023 to a high of $7.93 million in the quarter ended Jun 30, 2024 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last five quarters, with an average decline of 4.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was the quarter ended Sep 30, 2024, with growth of 37.9%; the weakest was the quarter ended Sep 30, 2025, with a decline of 19.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $6.11 million (quarter ended Mar 31, 2026), $5.97 million (quarter ended Dec 31, 2025) and $5.35 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,142.14 Bn | 976.70 Bn | 4.75 Bn | 4.35 Bn |
| 2 | Toyota Motor | 240.48 Bn | -166.26 Bn | 20.95 Bn | 78.18 Bn |
| 3 | Ferrari | 149.20 Bn | 141.65 Bn | 1.18 Bn | 471.42 Mn |
| 4 | Honda Motor | 145.55 Bn | 12.93 Bn | 8.46 Bn | -34.70 Bn |
| 5 | General Motors | 70.62 Bn | -34.25 Bn | 7.33 Bn | 46.57 Bn |
| 6 | Ford Motor | 48.18 Bn | -94.29 Bn | 6.08 Bn | 47.66 Bn |
| 7 | Rivian Automotive | 20.39 Bn | -2.90 Bn | 179.00 Mn | 1.02 Bn |
| 8 | Magna International | 18.08 Bn | 15.64 Bn | 1.61 Bn | 273.20 Mn |
| 9 | Stellantis | 12.84 Bn | -153.16 Bn | 5.55 Bn | 4.85 Bn |
| 10 | Massimo | 42.47 Mn | 25.31 Mn | 7.28 Mn | 5.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.62 Mn |
| Mar 31, 2026 | 6.11 Mn |
| Dec 31, 2025 | 5.97 Mn |
| Sep 30, 2025 | 5.35 Mn |
| Jun 30, 2025 | 6.72 Mn |
| Mar 31, 2025 | 6.93 Mn |
| Dec 31, 2024 | 6.35 Mn |
| Sep 30, 2024 | 6.65 Mn |
| Jun 30, 2024 | 7.93 Mn |
| Mar 31, 2024 | 6.48 Mn |
| Dec 31, 2023 | 7.41 Mn |
| Sep 30, 2023 | 4.82 Mn |
| Jun 30, 2023 | 5.82 Mn |
| Mar 31, 2023 | 4.93 Mn |
API Access
Massimo 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=operating-expenses&ticker=MAMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=MAMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();