Getty Images Holdings (GETY) Amortization - Intangibles (2021 - 2026)
Getty Images Holdings' Amortization - Intangibles was $140,000 in Q2 2026, down 75.6% from $573,000 a year earlier and down 76.1% from the prior quarter.
Getty Images Holdings (GETY) Amortization - Intangibles (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Getty Images Holdings' Amortization - Intangibles was $1.89 million through Jun 30, 2026, down 18.5% year-over-year; for FY2025, it was $2.3 million, down 0.1% from FY2024.
- Amortization - Intangibles has now declined for four consecutive years, with a five-year compound annual growth rate of -45.3% (FY2020 to FY2025).
- In earlier years, Amortization - Intangibles was $2.31 million in FY2024 (-90.4%), $24.07 million in FY2023 (-44.9%), $43.65 million in FY2022 (-11.6%) and $49.36 million in FY2021 (+5.0%).
- The Q2 2026 figure marks the lowest quarterly Amortization - Intangibles in data going back to Q3 2021.
- Compared with a year earlier, Amortization - Intangibles was higher in two of the last eight quarters, with an average decline of 29.8%.
- The best year-over-year quarter for Amortization - Intangibles over five years was Q1 2025 (growth of 6.0%); the worst was Q1 2024 (a decline of 92.6%).
- Per Business Quant data, GETY's Amortization - Intangibles in the three quarters before Q2 2026 was $586,000 (Q1 2026), $577,000 (Q4 2025) and $588,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,924.29 Bn | 3,681.81 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,641.81 Bn | 1,344.33 Bn | 49.47 Bn |
| 3 | Netflix | 275.91 Bn | 237.21 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 235.81 Bn | 49.59 Bn | 15.11 Bn |
| 5 | Shopify | 218.39 Bn | 195.58 Bn | 1.71 Bn |
| 6 | Uber Technologies | 140.20 Bn | 112.00 Bn | 6.38 Bn |
| 7 | Booking Holdings | 123.99 Bn | 57.04 Bn | - |
| 8 | Spotify Technology | 119.36 Bn | 76.86 Bn | 1.86 Bn |
| 9 | PDD Holdings | 110.55 Bn | -133.22 Bn | 9.45 Bn |
| 10 | Getty Images Holdings | 8.42 Mn | -291.31 Mn | 160.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 140,000.00 |
| Mar 31, 2026 | 586,000.00 |
| Dec 31, 2025 | 577,000.00 |
| Sep 30, 2025 | 588,000.00 |
| Jun 30, 2025 | 573,000.00 |
| Mar 31, 2025 | 566,000.00 |
| Dec 31, 2024 | 590,000.00 |
| Sep 30, 2024 | 590,000.00 |
| Jun 30, 2024 | 592,000.00 |
| Mar 31, 2024 | 534,000.00 |
| Dec 31, 2023 | 2.30 Mn |
| Sep 30, 2023 | 7.30 Mn |
| Jun 30, 2023 | 7.26 Mn |
| Mar 31, 2023 | 7.21 Mn |
| Dec 31, 2022 | 7.97 Mn |
| Sep 30, 2022 | 11.57 Mn |
| Jun 30, 2022 | 11.91 Mn |
| Mar 31, 2022 | 12.21 Mn |
| Dec 31, 2021 | 12.34 Mn |
| Sep 30, 2021 | 12.47 Mn |
Getty Images Holdings Amortization - Intangibles 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=amortization-intangibles&ticker=GETY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=GETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();