Massimo (MAMO) EBITDA (2023 - 2026)
Massimo (MAMO) recorded EBITDA of $1.73 million in the quarter ended Jun 30, 2026, up 884.1% from $175,580 a year earlier.
Massimo (MAMO) EBITDA (2023 - 2026) Analysis & Trends
On a TTM basis, Massimo's EBITDA came in at $5.35 million as of Jun 30, 2026; for the year ended Dec 31, 2025, it was $2.12 million, down 59.4% from the prior year.
- Annual EBITDA has a three-year compound annual growth rate of -23.6% (years ended Dec 2022 to Dec 2025).
- Across earlier years, EBITDA came in at $5.22 million in the year ended Dec 31, 2024 (-60.2%), $13.12 million in the year ended Dec 31, 2023 (+176.0%) and $4.75 million in the year ended Dec 31, 2022.
- Quarterly EBITDA has ranged from -$2.76 million in the quarter ended Dec 31, 2024 to $5.28 million in the quarter ended Sep 30, 2023 over the past five years.
- On a year-over-year basis, EBITDA rose in two of the last four quarters, with growth averaging 285.3%.
- Per Business Quant, the preceding three quarters came in at -$999,263 (quarter ended Mar 31, 2026), $2.79 million (quarter ended Dec 31, 2025) and $1.83 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,221.71 Bn | 1,043.93 Bn | 5.49 Bn | 2.57 Bn |
| 2 | General Motors | 77.93 Bn | -26.68 Bn | 9.28 Bn | 4.80 Bn |
| 3 | Ferrari | 74.00 Bn | 67.46 Bn | - | - |
| 4 | Ford Motor | 49.18 Bn | -85.24 Bn | 7.38 Bn | 3.44 Bn |
| 5 | Toyota Motor | 28.58 Bn | -344.44 Bn | - | - |
| 6 | Rivian Automotive | 20.30 Bn | -1.42 Bn | 176.00 Mn | -630.00 Mn |
| 7 | Magna International | 17.50 Bn | 12.21 Bn | - | - |
| 8 | Stellantis | 12.66 Bn | -174.61 Bn | - | - |
| 9 | Li Auto | 12.65 Bn | -27.40 Bn | - | - |
| 10 | Massimo | 39.14 Mn | 21.97 Mn | 7.28 Mn | 1.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.73 Mn |
| Mar 31, 2026 | -988,883.00 |
| Dec 31, 2025 | 2.81 Mn |
| Sep 30, 2025 | 1.84 Mn |
| Jun 30, 2025 | 185,960.00 |
| Mar 31, 2025 | -2.66 Mn |
| Dec 31, 2024 | -2.75 Mn |
| Sep 30, 2024 | 345,020.00 |
| Jun 30, 2024 | 3.61 Mn |
| Mar 31, 2024 | 4.02 Mn |
| Dec 31, 2023 | 4.78 Mn |
| Sep 30, 2023 | 5.29 Mn |
| Jun 30, 2023 | 2.33 Mn |
| Mar 31, 2023 | 727,090.00 |
Massimo EBITDA 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=ebitda&ticker=MAMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MAMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();