Autohome (ATHM) EBITDA (2012 - 2026)
Autohome (ATHM) posted EBITDA of $50.5 million for Q2 2026, up 159.66% on a QoQ basis from $19.4 million in Q1 2026, and down 36.04% year-over-year from $78.9 million in Q2 2025.
Autohome (ATHM) EBITDA (2012 - 2026) Analysis & Trends
Autohome has reported EBITDA for 15 years, with the latest figure at $50.5 million in Q2 2026.
- On a quarterly basis, EBITDA fell 36.04% year-over-year to $50.5 million in Q2 2026; TTM through Jun 2026 was $196.2 million, a 25.65% decrease from a year earlier, with the FY2025 full-year figure at $279.6 million, down 2.85% from the prior year.
- EBITDA was $50.5 million for Q2 2026 at Autohome, up from $19.4 million in the prior quarter.
- The five-year high for EBITDA was $114.5 million in Q4 2022, with the low at $19.4 million in Q1 2026.
- Average EBITDA over 5 years is $72.4 million, with a median of $75.5 million recorded in 2023.
- The sharpest annual moves came in 2022 and 2026: EBITDA jumped 168.69% in 2022, then sank 71.61% in 2026.
- Over 5 years, EBITDA stood at $114.5 million in 2022, then declined by 17.37% to $94.6 million in 2023, then slumped by 37.48% to $59.1 million in 2024, then fell by 21.22% to $46.6 million in 2025, then increased by 8.34% to $50.5 million in 2026.
- The last three EBITDA figures came in at $50.5 million (Q2 2026), $19.4 million (Q1 2026), and $46.6 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alibaba Group Holding | 263.05 Bn | 227.79 Bn | 15.11 Bn | 5.77 Bn |
| 2 | Booking Holdings | 126.16 Bn | 108.94 Bn | 4.98 Bn | 2.50 Bn |
| 3 | PDD Holdings | 112.31 Bn | 82.02 Bn | 9.45 Bn | 4.08 Bn |
| 4 | Airbnb | 98.07 Bn | 86.00 Bn | 2.98 Bn | 758.00 Mn |
| 5 | Mercadolibre | 90.61 Bn | 75.42 Bn | 4.16 Bn | 683.00 Mn |
| 6 | Ebay | 49.77 Bn | 46.46 Bn | 2.30 Bn | 676.00 Mn |
| 7 | Expedia | 31.98 Bn | 24.85 Bn | 3.91 Bn | 1.02 Bn |
| 8 | Maplebear | 10.57 Bn | 9.72 Bn | 751.00 Mn | 143.00 Mn |
| 9 | Full Truck Alliance | 7.59 Bn | 6.63 Bn | - | 218.24 Mn |
| 10 | Autohome | 2.44 Bn | -378.34 Mn | 136.18 Mn | 50.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.47 Mn |
| Mar 31, 2026 | 19.44 Mn |
| Dec 31, 2025 | 46.59 Mn |
| Sep 30, 2025 | 79.72 Mn |
| Jun 30, 2025 | 78.92 Mn |
| Mar 31, 2025 | 68.46 Mn |
| Dec 31, 2024 | 59.14 Mn |
| Sep 30, 2024 | 57.38 Mn |
| Jun 30, 2024 | 97.82 Mn |
| Mar 31, 2024 | 76.97 Mn |
| Dec 31, 2023 | 94.58 Mn |
| Sep 30, 2023 | 74.03 Mn |
| Jun 30, 2023 | 87.79 Mn |
| Mar 31, 2023 | 82.49 Mn |
| Dec 31, 2022 | 114.46 Mn |
| Sep 30, 2022 | 62.02 Mn |
| Jun 30, 2022 | 84.69 Mn |
| Mar 31, 2022 | 68.86 Mn |
| Dec 31, 2021 | 42.60 Mn |
| Sep 30, 2021 | 102.74 Mn |
Autohome EBITDA 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=ebitda&ticker=ATHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ATHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();