Autohome (ATHM) Accumulated Expenses (2012 - 2025)
Autohome (ATHM) posted Accumulated Expenses of $159.9 million for Q4 2025, down 29.65% on a QoQ basis from $227.4 million in Q4 2024, and down 29.65% year-over-year from $227.4 million in Q4 2024.
Autohome (ATHM) Accumulated Expenses (2012 - 2025) Analysis & Trends
Autohome has reported Accumulated Expenses for 12 years, with the latest figure at $159.9 million in Q4 2025.
- On a quarterly basis, Accumulated Expenses fell 29.65% year-over-year to $159.9 million in Q4 2025; TTM through Dec 2025 was $159.9 million, a 29.65% decrease from a year earlier, with the FY2025 full-year figure at $162.2 million, down 27.5% from the prior year.
- Accumulated Expenses was $159.9 million for Q4 2025 at Autohome, down from $227.4 million in the prior quarter.
- The five-year high for Accumulated Expenses was $227.4 million in Q4 2024, with the low at $86.2 million in Q4 2021.
- Average Accumulated Expenses over 5 years is $174.1 million, with a median of $175.9 million recorded in 2022.
- The sharpest annual moves came in 2022 and 2025: Accumulated Expenses jumped 104.15% in 2022, then decreased 29.65% in 2025.
- Over 5 years, Accumulated Expenses stood at $86.2 million in 2021, then surged by 104.15% to $175.9 million in 2022, then increased by 25.65% to $221.0 million in 2023, then climbed by 2.87% to $227.4 million in 2024, then fell by 29.65% to $159.9 million in 2025.
- The last three Accumulated Expenses figures came in at $159.9 million (Q4 2025), $227.4 million (Q4 2024), and $221.0 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 | 159.94 Mn |
| Dec 31, 2024 | 227.36 Mn |
| Dec 31, 2023 | 221.01 Mn |
| Dec 31, 2022 | 175.89 Mn |
| Dec 31, 2021 | 86.16 Mn |
| Dec 31, 2018 | 83.07 Mn |
| Dec 31, 2017 | 61.92 Mn |
| Dec 31, 2016 | 44.26 Mn |
| Dec 31, 2015 | 37.61 Mn |
| Dec 31, 2014 | 26.14 Mn |
| Dec 31, 2013 | 16.52 Mn |
| Dec 31, 2012 | 8.55 Mn |
Autohome 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=accumulated-expenses&ticker=ATHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=ATHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();