Full Truck Alliance (YMM) Total Non-Current Liabilities (2020 - 2026)
Full Truck Alliance (YMM) recorded Total Non-Current Liabilities of $28.11 million in Q2 2026, up 85.3% from $15.17 million a year earlier and up 1.0% from the prior quarter.
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Analysis
Full Truck Alliance (YMM) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Full Truck Alliance reported Total Non-Current Liabilities of $28.51 million, up 57.8% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $18.07 million in FY2024 (-28.0%), $25.11 million in FY2023 (+9.9%), $22.84 million in FY2022 (+7.2%) and $21.3 million in FY2021 (+23.7%).
- Quarterly Total Non-Current Liabilities has ranged from $15.17 million in Q2 2025 to $31.63 million in Q1 2022 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for four consecutive quarters, with growth averaging 19.2% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 85.3% in Q2 2026, against a decline of 33.5% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $27.83 million (Q1 2026), $28.11 million (Q4 2025) and $27.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 270.20 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 170.41 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 121.77 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 428.00 Mn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 4.77 Bn |
| 10 | Full Truck Alliance | 7.68 Bn | -3.01 Bn | - | 28.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.11 Mn |
| Mar 31, 2026 | 27.83 Mn |
| Dec 31, 2025 | 28.11 Mn |
| Sep 30, 2025 | 27.79 Mn |
| Jun 30, 2025 | 15.17 Mn |
| Mar 31, 2025 | 16.36 Mn |
| Dec 31, 2024 | 18.36 Mn |
| Sep 30, 2024 | 20.92 Mn |
| Jun 30, 2024 | 21.98 Mn |
| Mar 31, 2024 | 23.41 Mn |
| Dec 31, 2023 | 24.76 Mn |
| Sep 30, 2023 | 21.02 Mn |
| Jun 30, 2023 | 18.71 Mn |
| Mar 31, 2023 | 21.32 Mn |
| Dec 31, 2022 | 22.15 Mn |
| Sep 30, 2022 | 24.85 Mn |
| Jun 30, 2022 | 28.14 Mn |
| Mar 31, 2022 | 31.63 Mn |
| Dec 31, 2021 | 21.23 Mn |
| Sep 30, 2021 | 18.22 Mn |
API Access
Full Truck Alliance Total Non-Current 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-non-current-liabilities&ticker=YMM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=YMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();