Getty Images Holdings (GETY) Shares Outstanding (2020 - 2026)
Getty Images Holdings (GETY) recorded Shares Outstanding of 419.6 million in Q2 2026, up 1.4% from 413.74 million a year earlier and up 0.5% from the prior quarter.
Getty Images Holdings (GETY) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Getty Images Holdings reported Shares Outstanding of 414.34 million, up 1.3% from FY2024.
- Annual Shares Outstanding has increased for four straight years, with a five-year compound annual growth rate of 16.1% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding came in at 409.14 million in FY2024 (+2.5%), 399.04 million in FY2023 (+44.1%), 276.94 million in FY2022 (+41.2%) and 196.08 million in FY2021 (unchanged).
- The Q2 2026 figure is the highest quarterly Shares Outstanding in data going back to Q4 2020.
- On a year-over-year basis, Shares Outstanding has increased for 16 consecutive quarters, with growth averaging 1.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding ran from 0.0% in Q2 2022 to 380.0% in Q2 2023.
- Per Business Quant, the preceding three quarters came in at 417.54 million (Q1 2026), 414.34 million (Q4 2025) and 414.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,071.44 Bn | 3,828.96 Bn | 73.85 Bn | 12.15 Bn |
| 2 | Meta Platforms | 1,777.07 Bn | 1,479.59 Bn | 49.47 Bn | 2.54 Bn |
| 3 | Netflix | 272.74 Bn | 232.94 Bn | 6.52 Bn | 4.19 Bn |
| 4 | Alibaba Group Holding | 242.17 Bn | 55.95 Bn | 15.11 Bn | 2.32 Bn |
| 5 | Shopify | 225.98 Bn | 203.16 Bn | 1.71 Bn | 1.30 Bn |
| 6 | Uber Technologies | 137.80 Bn | 109.60 Bn | 6.38 Bn | 2.04 Bn |
| 7 | Booking Holdings | 121.57 Bn | 54.62 Bn | - | 768.00 Mn |
| 8 | PDD Holdings | 110.14 Bn | -133.64 Bn | 9.45 Bn | 1.40 Bn |
| 9 | Spotify Technology | 107.49 Bn | 64.99 Bn | 1.86 Bn | 205.41 Mn |
| 10 | Getty Images Holdings | 8.39 Mn | -339.58 Mn | 160.81 Mn | 419.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 419.60 Mn |
| Mar 31, 2026 | 417.54 Mn |
| Dec 31, 2025 | 414.34 Mn |
| Sep 30, 2025 | 414.93 Mn |
| Jun 30, 2025 | 413.74 Mn |
| Mar 31, 2025 | 412.47 Mn |
| Dec 31, 2024 | 409.14 Mn |
| Sep 30, 2024 | 410.47 Mn |
| Jun 30, 2024 | 408.99 Mn |
| Mar 31, 2024 | 405.64 Mn |
| Dec 31, 2023 | 399.04 Mn |
| Sep 30, 2023 | 399.70 Mn |
| Jun 30, 2023 | 397.42 Mn |
| Mar 31, 2023 | 395.31 Mn |
| Dec 31, 2022 | 276.94 Mn |
| Sep 30, 2022 | 318.15 Mn |
| Jun 30, 2022 | 82.80 Mn |
| Mar 31, 2022 | 196.10 Mn |
| Dec 31, 2021 | 196.08 Mn |
| Sep 30, 2021 | 196.08 Mn |
Getty Images Holdings Shares Outstanding 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=shares-outstanding&ticker=GETY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=GETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();