Autohome (ATHM) Other Accumulated Expenses (2012 - 2025)
Autohome (ATHM) posted Other Accumulated Expenses of $1.7 million for Q4 2025, up 15.31% on a QoQ basis from $1.4 million in Q4 2024, and up 15.31% year-over-year from $1.4 million in Q4 2024.
Autohome (ATHM) Other Accumulated Expenses (2012 - 2025) Analysis & Trends
Autohome has reported Other Accumulated Expenses for 12 years, with the latest figure at $1.7 million in Q4 2025.
- On a quarterly basis, Other Accumulated Expenses rose 15.31% year-over-year to $1.7 million in Q4 2025; TTM through Dec 2025 was $1.7 million, a 15.31% increase from a year earlier, with the FY2025 full-year figure at $1.7 million, up 18.73% from the prior year.
- Other Accumulated Expenses was $1.7 million for Q4 2025 at Autohome, up from $1.4 million in the prior quarter.
- The five-year high for Other Accumulated Expenses was $19.7 million in Q4 2021, with the low at $1.4 million in Q4 2024.
- Average Other Accumulated Expenses over 5 years is $4.7 million, with a median of $2.2 million recorded in 2021.
- The sharpest annual moves came in 2022 and 2025: Other Accumulated Expenses sank 84.33% in 2022, then increased 15.31% in 2025.
- Over 5 years, Other Accumulated Expenses stood at $19.7 million in 2021, then tumbled by 84.33% to $3.1 million in 2022, then declined by 25.77% to $2.3 million in 2023, then slumped by 37.13% to $1.4 million in 2024, then gained by 15.31% to $1.7 million in 2025.
- The last three Other Accumulated Expenses figures came in at $1.7 million (Q4 2025), $1.4 million (Q4 2024), and $2.3 million (Q4 2023), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alibaba Group Holding | 263.05 Bn | 227.79 Bn | 15.11 Bn |
| 2 | Booking Holdings | 126.16 Bn | 108.94 Bn | 4.98 Bn |
| 3 | PDD Holdings | 112.31 Bn | 82.02 Bn | 9.45 Bn |
| 4 | Airbnb | 98.07 Bn | 86.00 Bn | 2.98 Bn |
| 5 | Mercadolibre | 90.61 Bn | 75.42 Bn | 4.16 Bn |
| 6 | Ebay | 49.77 Bn | 46.46 Bn | 2.30 Bn |
| 7 | Expedia | 31.98 Bn | 24.85 Bn | 3.91 Bn |
| 8 | Maplebear | 10.57 Bn | 9.72 Bn | 751.00 Mn |
| 9 | Full Truck Alliance | 7.59 Bn | 6.63 Bn | - |
| 10 | Autohome | 2.44 Bn | -378.34 Mn | 136.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.66 Mn |
| Dec 31, 2024 | 1.44 Mn |
| Dec 31, 2023 | 2.29 Mn |
| Dec 31, 2022 | 3.09 Mn |
| Dec 31, 2021 | 19.70 Mn |
| Sep 30, 2021 | 2.21 Mn |
| Jun 30, 2021 | 2.21 Mn |
| Dec 31, 2018 | 14.61 Mn |
| Dec 31, 2017 | 18.44 Mn |
| Dec 31, 2016 | 9.27 Mn |
| Dec 31, 2015 | 4.46 Mn |
| Dec 31, 2014 | 2.50 Mn |
| Jun 30, 2014 | 5,000.00 |
| Mar 31, 2014 | 24,000.00 |
| Dec 31, 2013 | 1.56 Mn |
| Dec 31, 2012 | 1.84 Mn |
Autohome Other Accumulated Expenses 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-accumulated-expenses&ticker=ATHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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-accumulated-expenses&ticker=ATHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();