Autohome (ATHM) Enterprise Value (2013 - 2026)
Autohome's Enterprise Value came in at -$611.01 million for the quarter ended Jun 30, 2026, compared with -$66.45 million a year earlier.
Autohome (ATHM) Enterprise Value (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Autohome reported Enterprise Value of -$9.04 billion; for the year ended Dec 31, 2025, it came in at -$224.4 million.
- Going back by year, Enterprise Value was -$178.36 million in the year ended Dec 31, 2024, -$18.94 million in the year ended Dec 31, 2023, $509.21 million in the year ended Dec 31, 2022 (+19.8%) and $425.05 million in the year ended Dec 31, 2021 (-95.6%).
- The five-year range for quarterly Enterprise Value is -$782.46 million (the quarter ended Mar 31, 2026) to $2.6 billion (the quarter ended Sep 30, 2021).
- The fastest year-over-year change in Enterprise Value over five years came in the quarter ended Sep 30, 2024 (growth of 37.1%), and the weakest in the quarter ended Jun 30, 2024 (a decline of 98.1%).
- Business Quant data shows ATHM's Enterprise Value at -$782.46 million (quarter ended Mar 31, 2026), -$258.05 million (quarter ended Dec 31, 2025) and $247.34 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
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 | -142.25 Mn |
| Mar 31, 2026 | -338.14 Mn |
| Dec 31, 2025 | 130.03 Mn |
| Sep 30, 2025 | 636.97 Mn |
| Jun 30, 2025 | 297.93 Mn |
| Mar 31, 2025 | 574.25 Mn |
| Dec 31, 2024 | 179.30 Mn |
| Sep 30, 2024 | 921.55 Mn |
| Jun 30, 2024 | 340.70 Mn |
| Mar 31, 2024 | 145.90 Mn |
| Dec 31, 2023 | 325.08 Mn |
| Sep 30, 2023 | 764.86 Mn |
| Jun 30, 2023 | 606.06 Mn |
| Mar 31, 2023 | 1.06 Bn |
| Dec 31, 2022 | 828.94 Mn |
| Sep 30, 2022 | 857.65 Mn |
| Jun 30, 2022 | 2.07 Bn |
| Mar 31, 2022 | 883.27 Mn |
| Dec 31, 2021 | 699.91 Mn |
| Sep 30, 2021 | 2.87 Bn |
Autohome Enterprise Value 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=enterprise-value&ticker=ATHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=ATHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();