Massimo (MAMO) Accumulated Expenses (2022 - 2026)
Massimo's Accumulated Expenses came in at $6,334 for the quarter ended Jun 30, 2026, down 80.0% from $31,645 a year earlier and down 44.6% from the prior quarter.
Massimo (MAMO) Accumulated Expenses (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Massimo's Accumulated Expenses was $12,166, down 95.3% from the prior year.
- Accumulated Expenses has declined in each of the last three years, with a three-year compound annual growth rate of -72.0% (years ended Dec 2022 to Dec 2025).
- Going back by year, Accumulated Expenses was $261,588 in the year ended Dec 31, 2024 (-7.7%), $283,276 in the year ended Dec 31, 2023 (-49.1%) and $556,538 in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Accumulated Expenses in data going back to the quarter ended Dec 31, 2022.
- Year-over-year, Accumulated Expenses has declined for seven consecutive quarters, with an average decline of 67.1% over the last seven quarters.
- Over the past five years, the year-over-year decline in Accumulated Expenses ranged from 7.7% (the quarter ended Dec 31, 2024) to 95.3% (the quarter ended Dec 31, 2025).
- Business Quant data shows MAMO's Accumulated Expenses at $11,438 (quarter ended Mar 31, 2026), $12,166 (quarter ended Dec 31, 2025) and $22,989 (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 | 1,146.25 Bn | 980.81 Bn | 4.75 Bn |
| 2 | Toyota Motor | 244.39 Bn | -162.35 Bn | 20.95 Bn |
| 3 | Ferrari | 143.73 Bn | 136.18 Bn | 1.18 Bn |
| 4 | Honda Motor | 143.33 Bn | 10.71 Bn | 8.46 Bn |
| 5 | General Motors | 69.61 Bn | -35.26 Bn | 7.33 Bn |
| 6 | Ford Motor | 48.10 Bn | -94.36 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.10 Bn | -3.19 Bn | 179.00 Mn |
| 8 | Magna International | 18.07 Bn | 15.63 Bn | 1.61 Bn |
| 9 | Stellantis | 13.56 Bn | -152.44 Bn | 5.55 Bn |
| 10 | Massimo | 41.22 Mn | 24.06 Mn | 7.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6,334.00 |
| Mar 31, 2026 | 11,438.00 |
| Dec 31, 2025 | 12,166.00 |
| Sep 30, 2025 | 22,989.00 |
| Jun 30, 2025 | 31,645.00 |
| Mar 31, 2025 | 99,605.00 |
| Dec 31, 2024 | 261,588.00 |
| Sep 30, 2024 | 163,666.00 |
| Jun 30, 2024 | 202,273.00 |
| Mar 31, 2024 | 138,229.00 |
| Dec 31, 2023 | 283,276.00 |
| Dec 31, 2022 | 556,538.00 |
Massimo Accumulated 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=accumulated-expenses&ticker=MAMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=MAMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();