Autohome (ATHM) Other Operating Expenses (2013 - 2026)
Autohome (ATHM) recorded Other Operating Expenses of $11.31 million in the quarter ended Jun 30, 2026, up 40.7% from $8.04 million a year earlier and up 5.1% from the prior quarter.
Autohome (ATHM) Other Operating Expenses (2013 - 2026) Analysis & Trends
On a TTM basis, Autohome's Other Operating Expenses came in at $36.29 million as of Jun 30, 2026, up 16.2% year-over-year; for the year ended Dec 31, 2025, it came in at $28.82 million, down 27.1% from the prior year.
- Annual Other Operating Expenses has a five-year compound annual growth rate of -14.8% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Other Operating Expenses came in at $39.53 million in the year ended Dec 31, 2024, $3,720 in the year ended Dec 31, 2023 (-21.7%), $4,748 in the year ended Dec 31, 2022 (-100.0%) and $46.17 million in the year ended Dec 31, 2021 (-28.1%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Other Operating Expenses since the quarter ended Mar 31, 2024.
- On a year-over-year basis, Other Operating Expenses has increased for three consecutive quarters, with growth averaging 1.2% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 78.1% in the quarter ended Mar 31, 2026, against a decline of 54.0% in the quarter ended Mar 31, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $10.76 million (quarter ended Mar 31, 2026), $8.68 million (quarter ended Dec 31, 2025) and $5.53 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 | 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 | 10.74 Mn |
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_KEY
import 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();