Autohome (ATHM) Other Non-Current Liabilities (2011 - 2026)
Autohome (ATHM) reported Other Non-Current Liabilities of $6.74 million for the quarter ended Jun 30, 2026, up 44.0% from $4.68 million a year earlier but down 17.9% from the prior quarter.
Autohome (ATHM) Other Non-Current Liabilities (2011 - 2026) Analysis & Trends
As of Dec 31, 2025, Autohome posted Other Non-Current Liabilities of $1.97 million, down 37.9% from the prior year.
- Other Non-Current Liabilities has a five-year compound annual growth rate of -34.3% (years ended Dec 2020 to Dec 2025).
- By year, Other Non-Current Liabilities came in at $3.17 million in the year ended Dec 31, 2024 (-74.8%), $12.56 million in the year ended Dec 31, 2023 (+71.3%), $7.34 million in the year ended Dec 31, 2022 (+63.3%) and $4.49 million in the year ended Dec 31, 2021 (-72.0%).
- Five-year quarterly Other Non-Current Liabilities spans a low of $3.04 million in the quarter ended Dec 31, 2025 and a high of $16.77 million in the quarter ended Mar 31, 2023.
- Year over year, Other Non-Current Liabilities gained in two of the last eight quarters, with an average decline of 19.0%.
- The high point for year-over-year Other Non-Current Liabilities in five years was the quarter ended Mar 31, 2023 (growth of 128.9%); the low point was the quarter ended Dec 31, 2021 (a decline of 71.7%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $8.21 million (quarter ended Mar 31, 2026), $3.04 million (quarter ended Dec 31, 2025) and $4.51 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn |
| 10 | Autohome | 2.38 Bn | -8.78 Bn | 136.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.74 Mn |
| Mar 31, 2026 | 8.21 Mn |
| Dec 31, 2025 | 5.04 Mn |
| Sep 30, 2025 | 4.51 Mn |
| Jun 30, 2025 | 4.68 Mn |
| Mar 31, 2025 | 4.84 Mn |
| Dec 31, 2024 | 8.41 Mn |
| Sep 30, 2024 | 5.61 Mn |
| Jun 30, 2024 | 8.07 Mn |
| Mar 31, 2024 | 10.72 Mn |
| Dec 31, 2023 | 16.01 Mn |
| Sep 30, 2023 | 11.07 Mn |
| Jun 30, 2023 | 13.54 Mn |
| Mar 31, 2023 | 16.77 Mn |
| Dec 31, 2022 | 11.16 Mn |
| Sep 30, 2022 | 8.44 Mn |
| Jun 30, 2022 | 7.81 Mn |
| Mar 31, 2022 | 7.33 Mn |
| Dec 31, 2021 | 4.49 Mn |
| Sep 30, 2021 | 7.44 Mn |
Autohome Other 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=other-non-current-liabilities&ticker=ATHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=ATHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();