Getty Images Holdings (GETYQ) EBITDA (2021 - 2026)
Getty Images Holdings (GETYQ) reported EBITDA of $50.13 million for Q2 2026, down 7.3% from $54.06 million a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Getty Images Holdings (GETYQ) EBITDA (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Getty Images Holdings' EBITDA came in at $157.04 million, down 30.2% year-over-year; for FY2025, it came in at $156.19 million, down 36.2% from FY2024.
- EBITDA has a five-year compound annual growth rate of -9.8% (FY2020 to FY2025).
- By year, EBITDA came in at $244.62 million in FY2024 (+16.4%), $210.08 million in FY2023 (-30.3%), $301.35 million in FY2022 (-2.5%) and $309.19 million in FY2021 (+18.4%).
- Five-year quarterly EBITDA spans a low of -$6.41 million in Q4 2025 and a high of $81.24 million in Q4 2021.
- Year over year, EBITDA gained in two of the last seven quarters, with growth averaging 18.4%.
- The high point for year-over-year EBITDA in five years was Q3 2024 (growth of 184.8%); the low point was Q3 2023 (a decline of 65.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $50.14 million (Q1 2026), -$6.41 million (Q4 2025) and $63.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,521.72 Bn | 3,256.63 Bn | 76.16 Bn | 48.95 Bn |
| 2 | Meta Platforms | 1,603.50 Bn | 1,268.02 Bn | 51.23 Bn | 20.14 Bn |
| 3 | Netflix | 275.36 Bn | 236.65 Bn | 6.80 Bn | 8.80 Bn |
| 4 | Alibaba Group Holding | 244.98 Bn | 58.62 Bn | 15.16 Bn | - |
| 5 | Shopify | 197.35 Bn | 174.54 Bn | 1.71 Bn | 495.00 Mn |
| 6 | Uber Technologies | 142.49 Bn | 114.29 Bn | 6.38 Bn | 2.09 Bn |
| 7 | Spotify Technology | 129.18 Bn | 86.10 Bn | 1.89 Bn | 844.41 Mn |
| 8 | Booking Holdings | 128.71 Bn | 62.45 Bn | - | 3.60 Bn |
| 9 | PDD Holdings | 115.10 Bn | -128.95 Bn | 9.48 Bn | - |
| 10 | Getty Images Holdings | 6.50 Mn | -341.47 Mn | 160.81 Mn | 50.13 Mn |
Historic Data
Download Data
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 |
API Access
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=GETYQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "GETYQ", "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=GETYQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();