Getty Images Holdings (GETY) Cash & Equivalents (2020 - 2026)
Getty Images Holdings (GETY) posted Cash & Equivalents of $51.62 million for Q2 2026, down 53.2% from $110.28 million a year earlier and down 46.6% from the prior quarter.
Getty Images Holdings (GETY) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Getty Images Holdings' Cash & Equivalents came in at $90.18 million, down 25.6% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 161.5% (FY2020 to FY2025).
- In prior years, Getty Images Holdings' Cash & Equivalents was $121.17 million in FY2024 (-11.3%), $136.62 million in FY2023 (+39.5%), $97.91 million in FY2022 (-47.4%) and $186.3 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Cash & Equivalents since Q2 2022.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last eight quarters, with an average decline of 16.7% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2023, with growth of 58.0%; the weakest was Q2 2022, with a decline of 99.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $96.63 million (Q1 2026), $90.18 million (Q4 2025) and $109.53 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,162.20 Bn | 3,919.73 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Meta Platforms | 1,751.45 Bn | 1,453.97 Bn | 49.47 Bn | 15.46 Bn |
| 3 | Netflix | 291.66 Bn | 251.86 Bn | 6.52 Bn | 9.10 Bn |
| 4 | Alibaba Group Holding | 249.39 Bn | 63.17 Bn | 15.11 Bn | 21.06 Bn |
| 5 | Shopify | 223.90 Bn | 201.09 Bn | 1.71 Bn | 1.66 Bn |
| 6 | Uber Technologies | 139.84 Bn | 111.64 Bn | 6.38 Bn | 4.87 Bn |
| 7 | Booking Holdings | 126.12 Bn | 59.17 Bn | - | 17.21 Bn |
| 8 | PDD Holdings | 113.55 Bn | -130.22 Bn | 9.45 Bn | 19.00 Bn |
| 9 | Spotify Technology | 107.26 Bn | 64.77 Bn | 1.86 Bn | 6.78 Bn |
| 10 | Getty Images Holdings | 4.21 Mn | -295.52 Mn | 160.81 Mn | 51.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.62 Mn |
| Mar 31, 2026 | 96.63 Mn |
| Dec 31, 2025 | 90.18 Mn |
| Sep 30, 2025 | 109.53 Mn |
| Jun 30, 2025 | 110.28 Mn |
| Mar 31, 2025 | 114.55 Mn |
| Dec 31, 2024 | 121.17 Mn |
| Sep 30, 2024 | 109.87 Mn |
| Jun 30, 2024 | 121.70 Mn |
| Mar 31, 2024 | 134.20 Mn |
| Dec 31, 2023 | 136.62 Mn |
| Sep 30, 2023 | 113.55 Mn |
| Jun 30, 2023 | 121.31 Mn |
| Mar 31, 2023 | 116.82 Mn |
| Dec 31, 2022 | 97.91 Mn |
| Sep 30, 2022 | 71.87 Mn |
| Jun 30, 2022 | 3,213.00 |
| Dec 31, 2021 | 186.30 Mn |
| Jun 30, 2021 | 433,089.00 |
| Dec 31, 2020 | 737,786.00 |
Getty Images Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=GETY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();