Getty Images Holdings (GETY) Shares Outstanding (Diluted) (2020 - 2026)
Getty Images Holdings (GETY) reported Shares Outstanding (Diluted) of 419.6 million for 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 (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Getty Images Holdings posted Shares Outstanding (Diluted) of 414.34 million, down 0.1% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 16.1% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 414.87 million in FY2024 (+0.8%), 411.5 million in FY2023 (+48.6%), 276.94 million in FY2022 (+37.4%) and 201.51 million in FY2021 (+2.8%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) in data going back to Q4 2020.
- Year over year, Shares Outstanding (Diluted) gained in five of the last eight quarters, with growth averaging 0.8%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q2 2023 (growth of 266.3%); the low point was Q1 2025 (a decline of 0.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 417.54 million (Q1 2026), 414.34 million (Q4 2025) and 415.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,924.29 Bn | 3,681.81 Bn | 73.85 Bn | 12.31 Bn |
| 2 | Meta Platforms | 1,641.81 Bn | 1,344.33 Bn | 49.47 Bn | 2.57 Bn |
| 3 | Netflix | 275.91 Bn | 237.21 Bn | 6.80 Bn | 4.20 Bn |
| 4 | Alibaba Group Holding | 235.81 Bn | 49.59 Bn | 15.11 Bn | 2.40 Bn |
| 5 | Shopify | 218.39 Bn | 195.58 Bn | 1.71 Bn | 1.30 Bn |
| 6 | Uber Technologies | 140.20 Bn | 112.00 Bn | 6.38 Bn | 2.05 Bn |
| 7 | Booking Holdings | 123.99 Bn | 57.04 Bn | - | 770.00 Mn |
| 8 | Spotify Technology | 119.36 Bn | 76.86 Bn | 1.86 Bn | 210.51 Mn |
| 9 | PDD Holdings | 110.55 Bn | -133.22 Bn | 9.45 Bn | 1.48 Bn |
| 10 | Getty Images Holdings | 8.42 Mn | -291.31 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 | 415.20 Mn |
| Jun 30, 2025 | 413.74 Mn |
| Mar 31, 2025 | 412.47 Mn |
| Dec 31, 2024 | 414.87 Mn |
| Sep 30, 2024 | 410.47 Mn |
| Jun 30, 2024 | 414.44 Mn |
| Mar 31, 2024 | 414.89 Mn |
| Dec 31, 2023 | 411.50 Mn |
| Sep 30, 2023 | 399.70 Mn |
| Jun 30, 2023 | 397.42 Mn |
| Mar 31, 2023 | 408.64 Mn |
| Dec 31, 2022 | 276.94 Mn |
| Sep 30, 2022 | 323.34 Mn |
| Jun 30, 2022 | 108.50 Mn |
| Mar 31, 2022 | 221.53 Mn |
| Dec 31, 2021 | 201.51 Mn |
| Sep 30, 2021 | 197.52 Mn |
Getty Images Holdings Shares Outstanding (Diluted) 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-diluted&ticker=GETY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=GETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();