Getty Images Holdings (GETY) Accumulated Expenses (2021 - 2026)
Getty Images Holdings' Accumulated Expenses came in at $66.98 million for Q2 2026, up 0.4% from $66.69 million a year earlier but down 28.4% from the prior quarter.
Getty Images Holdings (GETY) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Getty Images Holdings' Accumulated Expenses was $89.85 million, up 49.9% from FY2024.
- Accumulated Expenses carries a four-year compound annual growth rate of 7.8% (FY2021 to FY2025).
- Going back by year, Accumulated Expenses was $59.94 million in FY2024 (+37.3%), $43.65 million in FY2023 (-11.5%), $49.33 million in FY2022 (-25.9%) and $66.57 million in FY2021.
- The five-year range for quarterly Accumulated Expenses is $408,988 (Q2 2022) to $93.54 million (Q1 2026).
- Year-over-year, Accumulated Expenses has increased for nine consecutive quarters, with growth averaging 40.3% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q1 2026 (growth of 89.3%), and the weakest in Q4 2022 (a decline of 25.9%).
- Business Quant data shows GETY's Accumulated Expenses at $93.54 million (Q1 2026), $89.85 million (Q4 2025) and $74.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,937.77 Bn | 3,695.30 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,637.91 Bn | 1,340.43 Bn | 49.47 Bn |
| 3 | Netflix | 278.00 Bn | 239.30 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 236.32 Bn | 50.10 Bn | 15.11 Bn |
| 5 | Shopify | 215.90 Bn | 193.08 Bn | 1.71 Bn |
| 6 | Uber Technologies | 138.87 Bn | 110.67 Bn | 6.38 Bn |
| 7 | Booking Holdings | 124.12 Bn | 57.17 Bn | - |
| 8 | Spotify Technology | 119.47 Bn | 76.97 Bn | 1.86 Bn |
| 9 | PDD Holdings | 110.99 Bn | -132.78 Bn | 9.45 Bn |
| 10 | Getty Images Holdings | 8.42 Mn | -291.31 Mn | 160.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.98 Mn |
| Mar 31, 2026 | 93.54 Mn |
| Dec 31, 2025 | 89.85 Mn |
| Sep 30, 2025 | 74.60 Mn |
| Jun 30, 2025 | 66.69 Mn |
| Mar 31, 2025 | 49.41 Mn |
| Dec 31, 2024 | 59.94 Mn |
| Sep 30, 2024 | 45.40 Mn |
| Jun 30, 2024 | 48.33 Mn |
| Mar 31, 2024 | 36.41 Mn |
| Dec 31, 2023 | 43.65 Mn |
| Sep 30, 2023 | 42.16 Mn |
| Jun 30, 2023 | 45.30 Mn |
| Mar 31, 2023 | 36.54 Mn |
| Dec 31, 2022 | 49.33 Mn |
| Sep 30, 2022 | 48.34 Mn |
| Jun 30, 2022 | 408,988.00 |
| Dec 31, 2021 | 66.57 Mn |
Getty Images Holdings Accumulated Expenses 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=accumulated-expenses&ticker=GETY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();