Momentus (MNTS) Accumulated Expenses (2019 - 2026)
Momentus (MNTS) reported Accumulated Expenses of $825,000 for Q2 2026, down 75.6% from $3.39 million a year earlier and down 63.2% from the prior quarter.
Momentus (MNTS) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Momentus posted Accumulated Expenses of $2.27 million, down 24.4% from FY2024.
- Accumulated Expenses has declined for four consecutive years, with a five-year compound annual growth rate of -5.8% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $3.01 million in FY2024 (-36.8%), $4.75 million in FY2023 (-40.8%), $8.03 million in FY2022 (-18.0%) and $9.79 million in FY2021 (+219.4%).
- The Q2 2026 figure ranks as the lowest quarterly Accumulated Expenses since Q3 2020.
- Year over year, Accumulated Expenses has now declined in each of the last three quarters, with an average decline of 34.8% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2021 (growth of 219.4%); the low point was Q2 2026 (a decline of 75.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.24 million (Q1 2026), $2.27 million (Q4 2025) and $3.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Momentus | 46.00 Mn | -98.58 Mn | 25,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 825,000.00 |
| Mar 31, 2026 | 2.24 Mn |
| Dec 31, 2025 | 2.27 Mn |
| Sep 30, 2025 | 3.69 Mn |
| Jun 30, 2025 | 3.39 Mn |
| Mar 31, 2025 | 2.89 Mn |
| Dec 31, 2024 | 3.01 Mn |
| Sep 30, 2024 | 3.63 Mn |
| Jun 30, 2024 | 5.19 Mn |
| Mar 31, 2024 | 4.46 Mn |
| Dec 31, 2023 | 4.75 Mn |
| Sep 30, 2023 | 7.42 Mn |
| Jun 30, 2023 | 6.79 Mn |
| Mar 31, 2023 | 6.50 Mn |
| Dec 31, 2022 | 8.03 Mn |
| Sep 30, 2022 | 7.88 Mn |
| Jun 30, 2022 | 7.03 Mn |
| Mar 31, 2022 | 9.57 Mn |
| Dec 31, 2021 | 9.79 Mn |
| Sep 30, 2021 | 6.73 Mn |
Momentus 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=MNTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "MNTS", "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=MNTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();