Getty Images Holdings (GETYQ) Accumulated Expenses (2021 - 2026)
Getty Images Holdings' Accumulated Expenses was $66.98 million in Q2 2026, up 0.4% from $66.69 million a year earlier but down 28.4% from the prior quarter.
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Analysis
Getty Images Holdings (GETYQ) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Getty Images Holdings came in at $89.85 million, up 49.9% from FY2024.
- Accumulated Expenses shows a four-year compound annual growth rate of 7.8% (FY2021 to FY2025).
- In earlier years, 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.
- Quarterly Accumulated Expenses has moved between $408,988 (Q2 2022) and $93.54 million (Q1 2026) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for nine straight quarters, with growth averaging 40.3% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q1 2026 (growth of 89.3%); the worst was Q4 2022 (a decline of 25.9%).
- Per Business Quant data, GETYQ's Accumulated Expenses in the three quarters before Q2 2026 was $93.54 million (Q1 2026), $89.85 million (Q4 2025) and $74.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,463.18 Bn | 3,198.08 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,546.58 Bn | 1,211.10 Bn | 51.23 Bn |
| 3 | Netflix | 269.21 Bn | 230.51 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 251.07 Bn | 73.14 Bn | 15.16 Bn |
| 5 | Shopify | 184.99 Bn | 163.79 Bn | 1.78 Bn |
| 6 | Uber Technologies | 140.28 Bn | 111.49 Bn | 6.42 Bn |
| 7 | Spotify Technology | 126.47 Bn | 83.39 Bn | 1.89 Bn |
| 8 | Booking Holdings | 125.48 Bn | 59.22 Bn | - |
| 9 | PDD Holdings | 119.49 Bn | -124.56 Bn | 9.48 Bn |
| 10 | Getty Images Holdings | 8.42 Mn | -291.31 Mn | 160.81 Mn |
Historic Data
Download Data
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 |
API Access
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=GETYQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "GETYQ", "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=GETYQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();