Getty Images Holdings (GETY) Price to Earnings (2021 - 2026)
Getty Images Holdings' (GETY) quarterly Price to Earnings came in at 4.2 in Q2 2026, up 78.63% on a YoY basis from 2.35 in Q2 2025, and up 94.85% quarter-over-quarter from 81.45 in Q1 2026.
Powered by 
Analysis
Getty Images Holdings (GETY) Price to Earnings (2021 - 2026) Analysis & Trends
Getty Images Holdings (GETY) has reported Price to Earnings for 6 consecutive years, with 4.2 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings rose 78.63% year-over-year to 4.2; the trailing twelve-month figure through Jun 2026 stood at 2.28 (up 61.8% YoY), and the FY2025 full-year result was 2.71, down 112.04% from the prior year.
- Price to Earnings climbed to 4.2 in Q2 2026 per GETY's latest filing, from 81.45 in the prior quarter.
- Across five years, Price to Earnings topped out at 749.72 in Q1 2023 and bottomed at 713.57 in Q3 2024.
- Historically, Price to Earnings has averaged 16.87 across 5 years, with a median of 5.17 in 2026.
- The sharpest annual moves came in 2022 and 2026: Price to Earnings surged 201.48% in 2022, then tumbled 1068.15% in 2026.
- Over 5 years, Price to Earnings stood at 83.44 in 2022, then jumped by 165.15% to 54.37 in 2023, then slumped by 32.94% to 36.46 in 2024, then tumbled by 116.88% to 6.15 in 2025, then surged by 31.83% to 4.2 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 4.2, 81.45, and 6.15 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.20 |
| Mar 31, 2026 | -81.45 |
| Dec 31, 2025 | -6.15 |
| Sep 30, 2025 | 36.77 |
| Jun 30, 2025 | -19.63 |
| Mar 31, 2025 | -6.97 |
| Dec 31, 2024 | 36.46 |
| Sep 30, 2024 | -713.57 |
| Jun 30, 2024 | 347.52 |
| Mar 31, 2024 | 125.63 |
| Dec 31, 2023 | 54.37 |
| Sep 30, 2023 | -142.11 |
| Jun 30, 2023 | -479.14 |
| Mar 31, 2023 | 749.72 |
| Dec 31, 2022 | -83.44 |
| Sep 30, 2022 | -14.46 |
| Jun 30, 2022 | 182.95 |
| Mar 31, 2022 | 321.44 |
| Dec 31, 2021 | 85.58 |
| Sep 30, 2021 | 125.94 |
API Access
Getty Images Holdings Price to Earnings 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-earnings&ticker=GETY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=GETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();