Autohome (ATHM) EBIT (2012 - 2026)
Autohome (ATHM) posted EBIT of $19.09 million for the quarter ended Jun 30, 2026, down 53.5% from $41.01 million a year earlier.
Autohome (ATHM) EBIT (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Autohome was $47.86 million, down 58.9% year-over-year; for the year ended Dec 31, 2025, it was $107.05 million, down 22.1% from the prior year.
- Annual EBIT shows a five-year compound annual growth rate of -26.0% (years ended Dec 2020 to Dec 2025).
- In prior years, Autohome's EBIT was $137.48 million in the year ended Dec 31, 2024 (-14.6%), $160.95 million in the year ended Dec 31, 2023, $18,087 in the year ended Dec 31, 2022 (-100.0%) and $279.57 million in the year ended Dec 31, 2021 (-42.1%).
- Quarterly EBIT has run from a low of -$4.97 million in the quarter ended Mar 31, 2026 to a high of $74.42 million in the quarter ended Dec 31, 2022 over five years.
- On a year-over-year basis, EBIT increased in 1 of the last seven quarters, with an average decline of 23.6%.
- The strongest year-over-year quarter for EBIT in the past five years was the quarter ended Dec 31, 2022, with growth of 168.1%; the weakest was the quarter ended Dec 31, 2021, with a decline of 80.9%.
- According to Business Quant data, EBIT for the three prior quarters was -$4.97 million (quarter ended Mar 31, 2026), $13.19 million (quarter ended Dec 31, 2025) and $20.54 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 40.77 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 18.78 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 4.19 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 2.23 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 488.00 Mn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 1.89 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 2.50 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 4.08 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 761.35 Mn |
| 10 | Autohome | 2.38 Bn | -8.78 Bn | 136.18 Mn | 19.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.09 Mn |
| Mar 31, 2026 | -4.97 Mn |
| Dec 31, 2025 | 13.19 Mn |
| Sep 30, 2025 | 20.54 Mn |
| Jun 30, 2025 | 41.01 Mn |
| Mar 31, 2025 | 32.10 Mn |
| Dec 31, 2024 | 31.84 Mn |
| Sep 30, 2024 | 11.53 Mn |
| Jun 30, 2024 | 56.97 Mn |
| Mar 31, 2024 | 38.61 Mn |
| Dec 31, 2023 | 51.65 Mn |
| Sep 30, 2023 | 22.95 Mn |
| Jun 30, 2023 | 48.76 Mn |
| Mar 31, 2023 | 38.47 Mn |
| Dec 31, 2022 | 74.42 Mn |
| Sep 30, 2022 | 28.03 Mn |
| Jun 30, 2022 | 45.68 Mn |
| Mar 31, 2022 | 38.01 Mn |
| Dec 31, 2021 | 27.76 Mn |
| Sep 30, 2021 | 56.66 Mn |
Autohome EBIT 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=ebit&ticker=ATHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=ATHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();