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 | 1,142.14 Bn | 976.70 Bn | 4.75 Bn | 2.02 Bn |
| 2 | Toyota Motor | 240.48 Bn | -166.26 Bn | 20.95 Bn | 10.70 Bn |
| 3 | Ferrari | 149.20 Bn | 141.65 Bn | 1.18 Bn | 878.33 Mn |
| 4 | Honda Motor | 145.55 Bn | 12.93 Bn | 8.46 Bn | - |
| 5 | General Motors | 70.62 Bn | -34.25 Bn | 7.33 Bn | 2.76 Bn |
| 6 | Ford Motor | 48.18 Bn | -94.29 Bn | 6.08 Bn | 2.50 Bn |
| 7 | Rivian Automotive | 20.39 Bn | -2.90 Bn | 179.00 Mn | -599.00 Mn |
| 8 | Magna International | 18.08 Bn | 15.64 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.84 Bn | -153.16 Bn | 5.55 Bn | 2.67 Bn |
| 10 | Massimo | 42.47 Mn | 25.31 Mn | 7.28 Mn | 1.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.73 Mn |
| Mar 31, 2026 | -999,263.00 |
| Dec 31, 2025 | 2.79 Mn |
| Sep 30, 2025 | 1.83 Mn |
| Jun 30, 2025 | 175,580.00 |
| Mar 31, 2025 | -2.67 Mn |
| Dec 31, 2024 | -2.76 Mn |
| Sep 30, 2024 | 334,641.00 |
| Jun 30, 2024 | 3.59 Mn |
| Mar 31, 2024 | 4.01 Mn |
| Dec 31, 2023 | 4.77 Mn |
| Sep 30, 2023 | 5.28 Mn |
| Jun 30, 2023 | 2.31 Mn |
| Mar 31, 2023 | 717,747.00 |
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();