Microvast Holdings (MVST) Total Liabilities (2018 - 2026)
Microvast Holdings (MVST) posted Total Liabilities of $420.08 million for Q3 2026, down 35.9% from $655.5 million a year earlier but up 2.7% from the prior quarter.
Microvast Holdings (MVST) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Microvast Holdings' Total Liabilities came in at $594.94 million, up 5.5% from FY2024.
- Annual Total Liabilities has increased for four consecutive years, though with a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- In prior years, Microvast Holdings' Total Liabilities was $563.97 million in FY2024 (+5.9%), $532.54 million in FY2023 (+43.2%), $371.98 million in FY2022 (+20.5%) and $308.59 million in FY2021 (-60.9%).
- Quarterly Total Liabilities has run from a low of $308.59 million in Q4 2021 to a high of $655.5 million in Q3 2025 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last three quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2023, with growth of 43.2%; the weakest was Q4 2021, with a decline of 60.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $409.1 million (Q2 2026), $521.39 million (Q1 2026) and $594.94 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 73.68 Bn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 4.61 Bn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 3.14 Bn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 1.99 Bn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 3.34 Bn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 3.13 Bn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 5.80 Bn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 1.79 Bn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 1.67 Bn |
| 10 | Microvast Holdings | 84.60 Mn | -359.15 Mn | 2.40 Mn | 420.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 420.08 Mn |
| Jun 30, 2026 | 409.10 Mn |
| Mar 31, 2026 | 521.39 Mn |
| Dec 31, 2025 | 594.94 Mn |
| Sep 30, 2025 | 655.50 Mn |
| Jun 30, 2025 | 648.56 Mn |
| Mar 31, 2025 | 528.70 Mn |
| Dec 31, 2024 | 563.97 Mn |
| Sep 30, 2024 | 511.80 Mn |
| Jun 30, 2024 | 506.46 Mn |
| Mar 31, 2024 | 494.50 Mn |
| Dec 31, 2023 | 532.54 Mn |
| Sep 30, 2023 | 449.22 Mn |
| Jun 30, 2023 | 417.96 Mn |
| Mar 31, 2023 | 398.15 Mn |
| Dec 31, 2022 | 371.98 Mn |
| Sep 30, 2022 | 357.07 Mn |
| Jun 30, 2022 | 317.64 Mn |
| Mar 31, 2022 | 341.34 Mn |
| Dec 31, 2021 | 308.59 Mn |
Microvast Holdings Total Liabilities 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=total-liabilities&ticker=MVST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MVST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();