Getty Images Holdings (GETY) Total Liabilities (2021 - 2026)
Getty Images Holdings (GETY) posted Total Liabilities of $2.56 billion for Q2 2026, up 32.1% from $1.94 billion a year earlier but down 2.8% from the prior quarter.
Getty Images Holdings (GETY) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Getty Images Holdings' Total Liabilities came in at $2.64 billion, up 43.0% from FY2024.
- Annual Total Liabilities shows a four-year compound annual growth rate of -2.1% (FY2021 to FY2025).
- In prior years, Getty Images Holdings' Total Liabilities was $1.85 billion in FY2024 (-3.9%), $1.92 billion in FY2023 (+2.4%), $1.88 billion in FY2022 (-34.8%) and $2.88 billion in FY2021.
- Quarterly Total Liabilities has run from a low of $1.13 billion in Q2 2022 to a high of $2.88 billion in Q4 2021 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last six quarters, with growth averaging 14.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2023, with growth of 62.6%; the weakest was Q4 2022, with a decline of 34.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $2.63 billion (Q1 2026), $2.64 billion (Q4 2025) and $1.91 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,151.27 Bn | 3,908.79 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,740.45 Bn | 1,442.97 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 292.20 Bn | 252.40 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 249.54 Bn | 63.32 Bn | 15.11 Bn | 125.97 Bn |
| 5 | Shopify | 223.67 Bn | 200.85 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 139.88 Bn | 111.68 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 126.88 Bn | 59.93 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 112.87 Bn | -130.91 Bn | 9.45 Bn | 31.74 Bn |
| 9 | Spotify Technology | 107.83 Bn | 65.33 Bn | 1.86 Bn | 6.13 Bn |
| 10 | Getty Images Holdings | 4.21 Mn | -295.52 Mn | 160.81 Mn | 2.56 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.56 Bn |
| Mar 31, 2026 | 2.63 Bn |
| Dec 31, 2025 | 2.64 Bn |
| Sep 30, 2025 | 1.91 Bn |
| Jun 30, 2025 | 1.94 Bn |
| Mar 31, 2025 | 1.93 Bn |
| Dec 31, 2024 | 1.85 Bn |
| Sep 30, 2024 | 1.85 Bn |
| Jun 30, 2024 | 1.86 Bn |
| Mar 31, 2024 | 1.90 Bn |
| Dec 31, 2023 | 1.92 Bn |
| Sep 30, 2023 | 1.90 Bn |
| Jun 30, 2023 | 1.85 Bn |
| Mar 31, 2023 | 1.87 Bn |
| Dec 31, 2022 | 1.88 Bn |
| Sep 30, 2022 | 1.83 Bn |
| Jun 30, 2022 | 1.13 Bn |
| Dec 31, 2021 | 2.88 Bn |
Getty Images Holdings Total Liabilities 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=total-liabilities&ticker=GETY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();