Autohome (ATHM) Other Operating Expenses (2012 - 2026)
Autohome (ATHM) posted Other Operating Expenses of $11.3 million for Q2 2026, up 5.11% on a QoQ basis from $10.8 million in Q1 2026, and up 40.69% year-over-year from $8.0 million in Q2 2025.
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Analysis
Autohome (ATHM) Other Operating Expenses (2012 - 2026) Analysis & Trends
Autohome has reported Other Operating Expenses for 15 years, with the latest figure at $11.3 million in Q2 2026.
- On a quarterly basis, Other Operating Expenses rose 40.69% year-over-year to $11.3 million in Q2 2026; TTM through Jun 2026 was $36.3 million, a 16.15% increase from a year earlier, with the FY2025 full-year figure at $28.8 million, down 27.11% from the prior year.
- Other Operating Expenses was $11.3 million for Q2 2026 at Autohome, up from $10.8 million in the prior quarter.
- The five-year high for Other Operating Expenses was $17.2 million in Q1 2022, with the low at $5.5 million in Q3 2025.
- Average Other Operating Expenses over 5 years is $9.8 million, with a median of $9.5 million recorded in 2023.
- The sharpest annual moves came in 2025 and 2026: Other Operating Expenses tumbled 53.96% in 2025, then surged 78.09% in 2026.
- Over 5 years, Other Operating Expenses stood at $11.4 million in 2022, then declined by 18.81% to $9.3 million in 2023, then fell by 19.66% to $7.5 million in 2024, then increased by 16.25% to $8.7 million in 2025, then soared by 30.36% to $11.3 million in 2026.
- The last three Other Operating Expenses figures came in at $11.3 million (Q2 2026), $10.8 million (Q1 2026), and $8.7 million (Q4 2025), per Business Quant data.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.31 Mn |
| Mar 31, 2026 | 10.76 Mn |
| Dec 31, 2025 | 8.68 Mn |
| Sep 30, 2025 | 5.53 Mn |
| Jun 30, 2025 | 8.04 Mn |
| Mar 31, 2025 | 6.04 Mn |
| Dec 31, 2024 | 7.47 Mn |
| Sep 30, 2024 | 9.69 Mn |
| Jun 30, 2024 | 9.81 Mn |
| Mar 31, 2024 | 13.13 Mn |
| Dec 31, 2023 | 9.29 Mn |
| Sep 30, 2023 | 8.90 Mn |
| Jun 30, 2023 | 9.21 Mn |
| Mar 31, 2023 | 9.67 Mn |
| Dec 31, 2022 | 11.45 Mn |
| Sep 30, 2022 | 9.12 Mn |
| Jun 30, 2022 | 11.15 Mn |
| Mar 31, 2022 | 17.20 Mn |
| Dec 31, 2021 | 11.05 Mn |
| Sep 30, 2021 | 10.79 Mn |
API Access
Autohome Other Operating 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-operating-expenses&ticker=ATHM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=ATHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();