Booking Holdings (BKNG) Price to Earnings (2010 - 2026)
Booking Holdings' (BKNG) quarterly Price to Earnings came in at 68.68 in Q2 2026, up 719.02% on a YoY basis from 8.39 in Q2 2025, and down 43.0% quarter-over-quarter from 120.5 in Q1 2026.
Booking Holdings (BKNG) Price to Earnings (2010 - 2026) Analysis & Trends
Booking Holdings (BKNG) has reported Price to Earnings for 18 consecutive years, with 68.68 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings rose 719.02% year-over-year to 68.68; the trailing twelve-month figure through Jun 2026 stood at 18.58 (up 1091.37% YoY), and the FY2025 full-year result was 1.26, up 13.24% from the prior year.
- Price to Earnings eased to 68.68 in Q2 2026 per BKNG's latest filing, from 120.5 in the prior quarter.
- Across five years, Price to Earnings topped out at 120.5 in Q1 2026 and bottomed at 5.45 in Q1 2022.
- Historically, Price to Earnings has averaged 15.78 across 5 years, with a median of 4.12 in 2024.
- The sharpest annual moves came in 2023 and 2024: Price to Earnings surged 788.75% in 2023, then tumbled 72.04% in 2024.
- Over 5 years, Price to Earnings stood at 2.46 in 2022, then soared by 788.75% to 21.84 in 2023, then slumped by 72.04% to 6.11 in 2024, then slipped by 22.19% to 4.75 in 2025, then surged by 1345.5% to 68.68 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 68.68, 120.5, and 4.75 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,144.46 Bn | 3,901.99 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,981.30 Bn | 1,683.82 Bn | 49.47 Bn |
| 3 | Netflix | 296.22 Bn | 256.42 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 254.92 Bn | 72.79 Bn | 15.11 Bn |
| 5 | Shopify | 184.25 Bn | 161.43 Bn | 1.71 Bn |
| 6 | Uber Technologies | 142.00 Bn | 113.98 Bn | 6.38 Bn |
| 7 | Booking Holdings | 123.19 Bn | 56.24 Bn | - |
| 8 | PDD Holdings | 110.41 Bn | -141.52 Bn | 9.45 Bn |
| 9 | Spotify Technology | 104.89 Bn | 62.12 Bn | 1.86 Bn |
| 10 | AppLovin | 104.19 Bn | 94.23 Bn | 1.70 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.58 |
| Mar 31, 2026 | 21.21 |
| Dec 31, 2025 | 1.26 |
| Sep 30, 2025 | 1.38 |
| Jun 30, 2025 | 1.56 |
| Mar 31, 2025 | 1.10 |
| Dec 31, 2024 | 1.11 |
| Sep 30, 2024 | 1.11 |
| Jun 30, 2024 | 1.06 |
| Mar 31, 2024 | 1.03 |
| Dec 31, 2023 | 1.13 |
| Sep 30, 2023 | 0.81 |
| Jun 30, 2023 | 0.86 |
| Mar 31, 2023 | 0.97 |
| Dec 31, 2022 | 0.99 |
| Sep 30, 2022 | 1.04 |
| Jun 30, 2022 | 1.80 |
| Mar 31, 2022 | 7.34 |
| Dec 31, 2021 | 3.37 |
| Sep 30, 2021 | 10.21 |
Booking Holdings 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=BKNG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "BKNG", "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=BKNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();