Microvast Holdings (MVST) Operating Expenses (2019 - 2026)
Microvast Holdings (MVST) posted Operating Expenses of $27.51 million for Q2 2026, up 16.1% from $23.69 million a year earlier and up 1.6% from the prior quarter.
Microvast Holdings (MVST) Operating Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Microvast Holdings was $130.87 million, up 5.9% year-over-year; for FY2025, it came in at $118.27 million, down 50.4% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 19.2% (FY2020 to FY2025).
- In prior years, Microvast Holdings' Operating Expenses was $238.3 million in FY2024 (+43.6%), $165.91 million in FY2023 (-2.8%), $170.69 million in FY2022 (+8.4%) and $157.45 million in FY2021 (+219.7%).
- Quarterly Operating Expenses has run from a low of $23.69 million in Q2 2025 to a high of $126.67 million in Q2 2024 over five years.
- On a year-over-year basis, Operating Expenses increased in two of the last eight quarters, with an average decline of 15.6%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 512.1%; the weakest was Q2 2025, with a decline of 81.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $27.09 million (Q1 2026), $42.8 million (Q4 2025) and $33.46 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn | 1.71 Bn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn | 173.34 Mn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn | 154.62 Mn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn | 811.92 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn | 311.38 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn | 144.95 Mn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn | 151.24 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn | 123.50 Mn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn | 115.20 Mn |
| 10 | Microvast Holdings | 246.10 Mn | -203.57 Mn | 25.78 Mn | 27.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.51 Mn |
| Mar 31, 2026 | 27.09 Mn |
| Dec 31, 2025 | 42.80 Mn |
| Sep 30, 2025 | 33.46 Mn |
| Jun 30, 2025 | 23.69 Mn |
| Mar 31, 2025 | 29.17 Mn |
| Dec 31, 2024 | 43.24 Mn |
| Sep 30, 2024 | 27.51 Mn |
| Jun 30, 2024 | 126.67 Mn |
| Mar 31, 2024 | 40.88 Mn |
| Dec 31, 2023 | 46.04 Mn |
| Sep 30, 2023 | 44.67 Mn |
| Jun 30, 2023 | 38.96 Mn |
| Mar 31, 2023 | 36.23 Mn |
| Dec 31, 2022 | 37.29 Mn |
| Sep 30, 2022 | 39.60 Mn |
| Jun 30, 2022 | 50.39 Mn |
| Mar 31, 2022 | 43.41 Mn |
| Dec 31, 2021 | 52.20 Mn |
| Sep 30, 2021 | 77.96 Mn |
Microvast Holdings 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=MVST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MVST", "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=MVST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();