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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,126.42 Bn | 3,883.94 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,763.57 Bn | 1,466.09 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 287.17 Bn | 247.37 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 252.08 Bn | 65.86 Bn | 15.11 Bn | 125.97 Bn |
| 5 | Shopify | 224.54 Bn | 201.72 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 140.28 Bn | 112.08 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 125.81 Bn | 58.86 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 114.10 Bn | -129.68 Bn | 9.45 Bn | 31.74 Bn |
| 9 | Spotify Technology | 108.24 Bn | 65.74 Bn | 1.86 Bn | 6.13 Bn |
| 10 | Full Truck Alliance | 9.23 Bn | -1.53 Bn | - | 696.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 696.46 Mn |
| Mar 31, 2026 | 639.99 Mn |
| Dec 31, 2025 | 542.91 Mn |
| Sep 30, 2025 | 614.01 Mn |
| Jun 30, 2025 | 470.24 Mn |
| Mar 31, 2025 | 572.73 Mn |
| Dec 31, 2024 | 492.59 Mn |
| Sep 30, 2024 | 600.65 Mn |
| Jun 30, 2024 | 535.38 Mn |
| Mar 31, 2024 | 639.51 Mn |
| Dec 31, 2023 | 524.88 Mn |
| Sep 30, 2023 | 488.27 Mn |
| Jun 30, 2023 | 457.02 Mn |
| Mar 31, 2023 | 413.94 Mn |
| Dec 31, 2022 | 436.45 Mn |
| Sep 30, 2022 | 423.94 Mn |
| Jun 30, 2022 | 413.54 Mn |
| Mar 31, 2022 | 374.16 Mn |
| Dec 31, 2021 | 450.33 Mn |
| Sep 30, 2021 | 378.94 Mn |
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_KEY
import 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();