Getty Images Holdings (GETY) EBITDA (2021 - 2026)
Getty Images Holdings' EBITDA was $48.31 million in Q2 2026, down 6.5% from $51.67 million a year earlier but up 0.2% from the prior quarter.
Getty Images Holdings (GETY) EBITDA (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Getty Images Holdings' EBITDA was $150.11 million through Jun 30, 2026, down 31.6% year-over-year; for FY2025, it was $148.68 million, down 38.6% from FY2024.
- EBITDA shows a five-year compound annual growth rate of -10.3% (FY2020 to FY2025).
- In earlier years, EBITDA was $242.1 million in FY2024 (+17.5%), $206.12 million in FY2023 (-30.2%), $295.25 million in FY2022 (-2.4%) and $302.45 million in FY2021 (+18.3%).
- Quarterly EBITDA has moved between -$8.09 million (Q4 2025) and $79.51 million (Q4 2021) over five years.
- Compared with a year earlier, EBITDA was higher in two of the last seven quarters, with growth averaging 18.9%.
- The best year-over-year quarter for EBITDA over five years was Q3 2024 (growth of 193.7%); the worst was Q3 2023 (a decline of 66.3%).
- Per Business Quant data, GETY's EBITDA in the three quarters before Q2 2026 was $48.21 million (Q1 2026), -$8.09 million (Q4 2025) and $61.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,126.42 Bn | 3,883.94 Bn | 73.85 Bn | 47.87 Bn |
| 2 | Meta Platforms | 1,763.57 Bn | 1,466.09 Bn | 49.47 Bn | 25.13 Bn |
| 3 | Netflix | 287.17 Bn | 247.37 Bn | 6.52 Bn | 8.60 Bn |
| 4 | Alibaba Group Holding | 252.08 Bn | 65.86 Bn | 15.11 Bn | - |
| 5 | Shopify | 224.54 Bn | 201.72 Bn | 1.71 Bn | 495.00 Mn |
| 6 | Uber Technologies | 140.28 Bn | 112.08 Bn | 6.38 Bn | 2.09 Bn |
| 7 | Booking Holdings | 125.81 Bn | 58.86 Bn | - | 2.63 Bn |
| 8 | PDD Holdings | 114.10 Bn | -129.68 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 108.24 Bn | 65.74 Bn | 1.86 Bn | 795.06 Mn |
| 10 | Getty Images Holdings | 6.50 Mn | -341.47 Mn | 160.81 Mn | 50.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.13 Mn |
| Mar 31, 2026 | 50.14 Mn |
| Dec 31, 2025 | -6.41 Mn |
| Sep 30, 2025 | 63.18 Mn |
| Jun 30, 2025 | 54.06 Mn |
| Mar 31, 2025 | 44.78 Mn |
| Dec 31, 2024 | 52.14 Mn |
| Sep 30, 2024 | 74.12 Mn |
| Jun 30, 2024 | 62.87 Mn |
| Mar 31, 2024 | 57.21 Mn |
| Dec 31, 2023 | 58.15 Mn |
| Sep 30, 2023 | 26.03 Mn |
| Jun 30, 2023 | 55.20 Mn |
| Mar 31, 2023 | 70.71 Mn |
| Dec 31, 2022 | 77.35 Mn |
| Sep 30, 2022 | 75.83 Mn |
| Jun 30, 2022 | 73.45 Mn |
| Mar 31, 2022 | 74.72 Mn |
| Dec 31, 2021 | 81.24 Mn |
| Sep 30, 2021 | 67.72 Mn |
Getty Images Holdings 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=ebitda&ticker=GETY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=GETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();