Full Truck Alliance (YMM) Cash & Equivalents (2020 - 2026)
Full Truck Alliance (YMM) reported Cash & Equivalents of $1 billion for Q2 2026, up 63.2% from $614.1 million a year earlier and up 3.7% from the prior quarter.
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Analysis
Full Truck Alliance (YMM) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Full Truck Alliance posted Cash & Equivalents of $867.45 million, up 9.0% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -4.7% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $796.01 million in FY2024 (-16.5%), $953.66 million in FY2023 (+28.0%), $744.84 million in FY2022 (+10.8%) and $672.3 million in FY2021 (-39.0%).
- The Q2 2026 figure ranks as the highest quarterly Cash & Equivalents since Q1 2025.
- Year over year, Cash & Equivalents gained in three of the last seven quarters, with an average decline of 7.7%.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2026 (growth of 63.2%); the low point was Q4 2025 (a decline of 99.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $966.97 million (Q1 2026), $855.28 million (Q4 2025) and $806.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 15.46 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 9.10 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 21.06 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.66 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 4.87 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 17.21 Bn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 19.00 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 6.90 Bn |
| 10 | Full Truck Alliance | 7.65 Bn | -3.04 Bn | - | 1.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.00 Bn |
| Mar 31, 2026 | 966.97 Mn |
| Dec 31, 2025 | 855.28 Mn |
| Sep 30, 2025 | 806.30 Mn |
| Jun 30, 2025 | 614.10 Mn |
| Mar 31, 2025 | 1.13 Bn |
| Dec 31, 2024 | 158.24 Bn |
| Sep 30, 2024 | 654.40 Mn |
| Jun 30, 2024 | 706.65 Mn |
| Mar 31, 2024 | 975.78 Mn |
| Dec 31, 2023 | 940.39 Mn |
| Sep 30, 2023 | 923.20 Mn |
| Jun 30, 2023 | 975.14 Mn |
| Mar 31, 2023 | 993.13 Mn |
| Dec 31, 2022 | 722.33 Mn |
| Sep 30, 2022 | 696.62 Mn |
| Jun 30, 2022 | 718.40 Mn |
| Mar 31, 2022 | 682.10 Mn |
| Dec 31, 2021 | 670.10 Mn |
| Sep 30, 2021 | 574.73 Mn |
API Access
Full Truck Alliance Cash & Equivalents 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=cash-and-equivalents&ticker=YMM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=YMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();