Autohome (ATHM) Operating Expenses (2012 - 2026)
Autohome (ATHM) posted Operating Expenses of -$128.34 million for the quarter ended Jun 30, 2026, compared with -$141.78 million a year earlier.
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Analysis
Autohome (ATHM) Operating Expenses (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Autohome was -$561.67 million; for the year ended Dec 31, 2025, it came in at $586.35 million, down 11.6% from the prior year.
- In prior years, Autohome's Operating Expenses was $663.27 million in the year ended Dec 31, 2024 (-3.9%), $690 million in the year ended Dec 31, 2023, -$69,385 in the year ended Dec 31, 2022 and -$737.81 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Operating Expenses since the quarter ended Mar 31, 2020.
- According to Business Quant data, Operating Expenses for the three prior quarters was -$130.48 million (quarter ended Mar 31, 2026), -$158.94 million (quarter ended Dec 31, 2025) and -$143.9 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 640.46 Mn |
| 10 | Autohome | 2.38 Bn | -8.78 Bn | 136.18 Mn | -128.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -128.34 Mn |
| Mar 31, 2026 | -130.48 Mn |
| Dec 31, 2025 | -158.94 Mn |
| Sep 30, 2025 | -143.90 Mn |
| Jun 30, 2025 | -141.78 Mn |
| Mar 31, 2025 | -130.75 Mn |
| Dec 31, 2024 | -161.24 Mn |
| Sep 30, 2024 | -192.69 Mn |
| Jun 30, 2024 | -163.11 Mn |
| Mar 31, 2024 | -156.07 Mn |
| Dec 31, 2023 | -175.05 Mn |
| Sep 30, 2023 | -196.19 Mn |
| Jun 30, 2023 | -169.36 Mn |
| Mar 31, 2023 | -145.12 Mn |
| Dec 31, 2022 | -157.79 Mn |
| Sep 30, 2022 | -194.81 Mn |
| Jun 30, 2022 | -183.27 Mn |
| Mar 31, 2022 | -171.01 Mn |
| Dec 31, 2021 | -207.95 Mn |
| Sep 30, 2021 | -184.22 Mn |
API Access
Autohome 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=operating-expenses&ticker=ATHM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=ATHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();