Booking Holdings (BKNG) EV to EBITDA (2010 - 2026)
Booking Holdings' (BKNG) quarterly EV to EBITDA came in at 46.68 in Q2 2026, up 1141.06% on a YoY basis from 3.76 in Q2 2025, and down 48.17% quarter-over-quarter from 90.07 in Q1 2026.
Booking Holdings (BKNG) EV to EBITDA (2010 - 2026) Analysis & Trends
Booking Holdings (BKNG) has reported EV to EBITDA for 18 consecutive years, with 46.68 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EV to EBITDA rose 1141.06% year-over-year to 46.68; the trailing twelve-month figure through Jun 2026 stood at 12.57 (up 1124.16% YoY), and the FY2025 full-year result was 1.18, up 7.5% from the prior year.
- EV to EBITDA eased to 46.68 in Q2 2026 per BKNG's latest filing, from 90.07 in the prior quarter.
- Across five years, EV to EBITDA topped out at 90.07 in Q1 2026 and bottomed at 38.7 in Q1 2022.
- Historically, EV to EBITDA has averaged 0.94 across 5 years, with a median of 5.76 in 2024.
- The sharpest annual moves came in 2022 and 2026: EV to EBITDA tumbled 236.36% in 2022, then surged 1141.06% in 2026.
- Over 5 years, EV to EBITDA stood at 6.96 in 2022, then plunged by 84.84% to 12.86 in 2023, then soared by 56.65% to 5.58 in 2024, then gained by 7.98% to 5.13 in 2025, then soared by 1009.66% to 46.68 in 2026.
- According to Business Quant data, EV to EBITDA over the past three periods registered 46.68, 90.07, and 5.13 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 | 11.84 |
| Mar 31, 2026 | 11.88 |
| Dec 31, 2025 | -1.10 |
| Sep 30, 2025 | -1.04 |
| Jun 30, 2025 | -1.14 |
| Mar 31, 2025 | -1.14 |
| Dec 31, 2024 | -1.18 |
| Sep 30, 2024 | -1.46 |
| Jun 30, 2024 | -1.60 |
| Mar 31, 2024 | -1.65 |
| Dec 31, 2023 | -1.24 |
| Sep 30, 2023 | -1.36 |
| Jun 30, 2023 | -1.75 |
| Mar 31, 2023 | -1.81 |
| Dec 31, 2022 | -1.69 |
| Sep 30, 2022 | -1.31 |
| Jun 30, 2022 | -2.03 |
| Mar 31, 2022 | -1.98 |
| Dec 31, 2021 | -2.48 |
| Sep 30, 2021 | -4.28 |
Booking Holdings EV to 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=ev-to-ebitda&ticker=BKNG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=BKNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();