Getty Images Holdings (GETY) EV to EBITDA (2021 - 2026)
Getty Images Holdings' (GETY) quarterly EV to EBITDA came in at 5.97 in Q2 2026, down 148.96% on a YoY basis from 12.19 in Q2 2025, and up 20.7% quarter-over-quarter from 7.53 in Q1 2026.
Getty Images Holdings (GETY) EV to EBITDA (2021 - 2026) Analysis & Trends
Getty Images Holdings (GETY) has reported EV to EBITDA for 6 consecutive years, with 5.97 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EV to EBITDA fell 148.96% year-over-year to 5.97; the trailing twelve-month figure through Jun 2026 stood at 1.93 (down 167.21% YoY), and the FY2025 full-year result was 0.81, down 123.8% from the prior year.
- EV to EBITDA improved to 5.97 in Q2 2026 per GETY's latest filing, from 7.53 in the prior quarter.
- Across five years, EV to EBITDA topped out at 143.63 in Q3 2023 and bottomed at 7.53 in Q1 2026.
- Historically, EV to EBITDA has averaged 29.41 across 5 years, with a median of 24.05 in 2024.
- The sharpest annual moves came in 2023 and 2026: EV to EBITDA surged 323.55% in 2023, then tumbled 149.39% in 2026.
- Over 5 years, EV to EBITDA stood at 27.37 in 2022, then soared by 35.48% to 37.08 in 2023, then tumbled by 56.94% to 15.97 in 2024, then declined by 8.56% to 14.6 in 2025, then sank by 140.89% to 5.97 in 2026.
- According to Business Quant data, EV to EBITDA over the past three periods registered 5.97, 7.53, and 14.6 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alibaba Group Holding | 268.88 Bn | 233.62 Bn | 15.11 Bn |
| 2 | Booking Holdings | 126.62 Bn | 109.41 Bn | 4.98 Bn |
| 3 | PDD Holdings | 112.86 Bn | 82.58 Bn | 9.45 Bn |
| 4 | Airbnb | 98.44 Bn | 86.37 Bn | 2.98 Bn |
| 5 | Mercadolibre | 92.29 Bn | 77.10 Bn | 4.16 Bn |
| 6 | Ebay | 48.19 Bn | 44.89 Bn | 2.30 Bn |
| 7 | Expedia | 32.17 Bn | 25.04 Bn | 3.91 Bn |
| 8 | Maplebear | 10.62 Bn | 9.77 Bn | 751.00 Mn |
| 9 | Full Truck Alliance | 7.66 Bn | 6.70 Bn | - |
| 10 | Getty Images Holdings | 96.83 Mn | -552.82 Mn | 160.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.97 |
| Mar 31, 2026 | -7.53 |
| Dec 31, 2025 | 14.60 |
| Sep 30, 2025 | 12.39 |
| Jun 30, 2025 | 12.19 |
| Mar 31, 2025 | 15.24 |
| Dec 31, 2024 | 15.97 |
| Sep 30, 2024 | 20.74 |
| Jun 30, 2024 | 20.59 |
| Mar 31, 2024 | 28.88 |
| Dec 31, 2023 | 37.08 |
| Sep 30, 2023 | 143.63 |
| Jun 30, 2023 | 39.77 |
| Mar 31, 2023 | 31.19 |
| Dec 31, 2022 | 27.37 |
| Sep 30, 2022 | 33.91 |
| Jun 30, 2022 | 57.48 |
| Mar 31, 2022 | 31.88 |
| Dec 31, 2021 | 26.76 |
| Sep 30, 2021 | 28.44 |
Getty Images 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=GETY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "GETY", "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=GETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();