Full Truck Alliance (YMM) Total Liabilities (2020 - 2026)
Full Truck Alliance's Total Liabilities came in at $694.86 million for Q2 2026, up 47.8% from $470.24 million a year earlier and up 8.8% from the prior quarter.
Powered by 
Analysis
Full Truck Alliance (YMM) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Full Truck Alliance's Total Liabilities was $528.54 million, up 7.3% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -35.9% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $492.51 million in FY2024 (-6.3%), $525.41 million in FY2023 (+19.2%), $440.62 million in FY2022 (-2.1%) and $450.3 million in FY2021 (-90.8%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities since Q4 2024.
- Year-over-year, Total Liabilities increased in four of the last eight quarters, with an average decline of 8.7%.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2024 (growth of 54.6%), and the weakest in Q4 2025 (a decline of 99.9%).
- Business Quant data shows YMM's Total Liabilities at $638.6 million (Q1 2026), $535.52 million (Q4 2025) and $614.01 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 125.68 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 31.67 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 5.11 Bn |
| 10 | Full Truck Alliance | 7.68 Bn | -3.01 Bn | - | 694.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 694.86 Mn |
| Mar 31, 2026 | 638.60 Mn |
| Dec 31, 2025 | 535.52 Mn |
| Sep 30, 2025 | 614.01 Mn |
| Jun 30, 2025 | 470.24 Mn |
| Mar 31, 2025 | 572.73 Mn |
| Dec 31, 2024 | 470.94 Bn |
| Sep 30, 2024 | 600.02 Mn |
| Jun 30, 2024 | 537.45 Mn |
| Mar 31, 2024 | 640.06 Mn |
| Dec 31, 2023 | 670.42 Bn |
| Sep 30, 2023 | 492.77 Mn |
| Jun 30, 2023 | 457.02 Mn |
| Mar 31, 2023 | 413.94 Mn |
| Dec 31, 2022 | 641.37 Bn |
| Sep 30, 2022 | 423.94 Mn |
| Jun 30, 2022 | 413.54 Mn |
| Mar 31, 2022 | 374.16 Mn |
| Dec 31, 2021 | 1,157.63 Bn |
| Sep 30, 2021 | 378.94 Mn |
API Access
Full Truck Alliance 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=YMM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "YMM", "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=YMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();