Booking Holdings (BKNG) Price to Book (2009 - 2023)
Booking Holdings' (BKNG) quarterly Price to Book came in at 12.42 in Q2 2026, down 1001.65% on a YoY basis from 1.38 in Q2 2025, and up 16.97% quarter-over-quarter from 14.96 in Q1 2026.
Booking Holdings (BKNG) Price to Book (2009 - 2023) Analysis & Trends
Booking Holdings (BKNG) has reported Price to Book for 18 consecutive years, with 12.42 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Book fell 1001.65% year-over-year to 12.42; the trailing twelve-month figure through Jun 2026 stood at 12.42 (down 1001.65% YoY), and the FY2025 full-year result was 1.22, up 25.02% from the prior year.
- Price to Book rose to 12.42 in Q2 2026 per BKNG's latest filing, from 14.96 in the prior quarter.
- Across five years, Price to Book topped out at 3.65 in Q1 2023 and bottomed at 14.96 in Q1 2026.
- Historically, Price to Book has averaged 2.51 across 5 years, with a median of 1.23 in 2025.
- The sharpest annual moves came in 2023 and 2026: Price to Book jumped 318.1% in 2023, then tumbled 1424.71% in 2026.
- Over 5 years, Price to Book stood at 1.09 in 2022, then tumbled by 261.97% to 1.77 in 2023, then climbed by 8.19% to 1.62 in 2024, then rose by 25.02% to 1.22 in 2025, then slumped by 921.09% to 12.42 in 2026.
- According to Business Quant data, Price to Book over the past three periods registered 12.42, 14.96, and 1.22 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 |
|---|---|
| Mar 31, 2023 | 3.65 |
| Dec 31, 2022 | 1.09 |
| Sep 30, 2022 | 0.69 |
| Jun 30, 2022 | 0.69 |
| Mar 31, 2022 | 0.87 |
| Dec 31, 2021 | 0.64 |
| Sep 30, 2021 | 0.70 |
| Jun 30, 2021 | 0.75 |
| Mar 31, 2021 | 0.80 |
| Dec 31, 2020 | 0.75 |
| Sep 30, 2020 | 0.57 |
| Jun 30, 2020 | 0.65 |
| Mar 31, 2020 | 0.57 |
| Dec 31, 2019 | 0.57 |
| Sep 30, 2019 | 0.55 |
| Jun 30, 2019 | 0.60 |
| Mar 31, 2019 | 0.44 |
| Dec 31, 2018 | 0.35 |
| Sep 30, 2018 | 0.37 |
| Jun 30, 2018 | 0.37 |
Booking Holdings Price to Book 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-book&ticker=BKNG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=BKNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();