Autohome (ATHM) Cash & Equivalents (2011 - 2026)
Autohome (ATHM) recorded Cash & Equivalents of $367.84 million in the quarter ended Jun 30, 2026, down 8.5% from $401.88 million a year earlier but up 83.6% from the prior quarter.
Autohome (ATHM) Cash & Equivalents (2011 - 2026) Analysis & Trends
As of Dec 31, 2025, Autohome reported Cash & Equivalents of $311.09 million, up 34.1% from the prior year.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 3.0% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Cash & Equivalents came in at $232.02 million in the year ended Dec 31, 2024 (-67.0%), $703.72 million in the year ended Dec 31, 2023 (+73.3%), $406.15 million in the year ended Dec 31, 2022 (-38.9%) and $664.8 million in the year ended Dec 31, 2021 (+147.7%).
- Quarterly Cash & Equivalents has ranged from $200.3 million in the quarter ended Mar 31, 2026 to $693.93 million in the quarter ended Dec 31, 2023 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in three of the last eight quarters, with an average decline of 8.0%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 150.8% in the quarter ended Dec 31, 2021, against a decline of 66.0% in the quarter ended Dec 31, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $200.3 million (quarter ended Mar 31, 2026), $306.73 million (quarter ended Dec 31, 2025) and $423.14 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 15.46 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 9.10 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 21.06 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 1.66 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 4.87 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 17.21 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 19.00 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 6.78 Bn |
| 10 | Autohome | 2.38 Bn | -8.78 Bn | 136.18 Mn | 367.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 367.84 Mn |
| Mar 31, 2026 | 200.30 Mn |
| Dec 31, 2025 | 310.96 Mn |
| Sep 30, 2025 | 423.14 Mn |
| Jun 30, 2025 | 401.88 Mn |
| Mar 31, 2025 | 297.38 Mn |
| Dec 31, 2024 | 232.06 Mn |
| Sep 30, 2024 | 360.42 Mn |
| Jun 30, 2024 | 534.17 Mn |
| Mar 31, 2024 | 397.53 Mn |
| Dec 31, 2023 | 703.02 Mn |
| Sep 30, 2023 | 246.88 Mn |
| Jun 30, 2023 | 405.43 Mn |
| Mar 31, 2023 | 273.44 Mn |
| Dec 31, 2022 | 402.31 Mn |
| Sep 30, 2022 | 688.88 Mn |
| Jun 30, 2022 | 575.05 Mn |
| Mar 31, 2022 | 439.55 Mn |
| Dec 31, 2021 | 664.85 Mn |
| Sep 30, 2021 | 360.23 Mn |
Autohome 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=ATHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "ATHM", "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=ATHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();