Alibaba Group Holding (BABAF) Price to Earnings (2014 - 2026)
Alibaba Group Holding's (BABAF) Price to Earnings stood at 21.17 in the quarter ended Jun 30, 2026, up 64.0% from 12.91 a year earlier and up 6.1% from the prior quarter.
Alibaba Group Holding (BABAF) Price to Earnings (2014 - 2026) Analysis & Trends
For the year ended Mar 31, 2026, Alibaba Group Holding's Price to Earnings came in at 18.98, up 10.9% from the prior year.
- Across earlier years, Price to Earnings came in at 17.12 in the year ended Mar 31, 2025 (+7.3%), 15.95 in the year ended Mar 31, 2024 (-35.8%), 24.83 in the year ended Mar 31, 2023 (-16.4%) and 29.72 in the year ended Mar 31, 2022 (+10.9%).
- Quarterly Price to Earnings has ranged from 11.84 in the quarter ended Sep 30, 2023 to 198.93 in the quarter ended Sep 30, 2022 over the past five years.
- On a year-over-year basis, Price to Earnings has increased for four consecutive quarters, with growth averaging 32.3% over the last eight quarters.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 839.5% in the quarter ended Sep 30, 2022, against a decline of 94.0% in the quarter ended Sep 30, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 19.97 (quarter ended Mar 31, 2026), 26.85 (quarter ended Dec 31, 2025) and 24.31 (quarter ended Sep 30, 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.17 |
| Mar 31, 2026 | 19.97 |
| Dec 31, 2025 | 26.85 |
| Sep 30, 2025 | 24.31 |
| Jun 30, 2025 | 12.91 |
| Mar 31, 2025 | 16.96 |
| Dec 31, 2024 | 12.32 |
| Sep 30, 2024 | 21.38 |
| Jun 30, 2024 | 18.15 |
| Mar 31, 2024 | 15.93 |
| Dec 31, 2023 | 14.17 |
| Sep 30, 2023 | 11.84 |
| Jun 30, 2023 | 17.72 |
| Mar 31, 2023 | 24.43 |
| Dec 31, 2022 | 49.68 |
| Sep 30, 2022 | 185.36 |
| Jun 30, 2022 | 62.25 |
| Mar 31, 2022 | 34.29 |
| Dec 31, 2021 | 31.61 |
| Sep 30, 2021 | 21.17 |
Alibaba Group Holding Price to Earnings 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=price-to-earnings&ticker=BABAF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "BABAF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=BABAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();