Getty Images Holdings (GETY) Interest Expenses (2021 - 2026)
Getty Images Holdings' Interest Expenses was $57.34 million in Q2 2026, up 56.9% from $36.56 million a year earlier and up 5.8% from the prior quarter.
Getty Images Holdings (GETY) Interest Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Getty Images Holdings' Interest Expenses was $198.46 million through Jun 30, 2026, up 48.1% year-over-year; for FY2025, it was $156.18 million, up 18.8% from FY2024.
- Interest Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $131.41 million in FY2024 (+3.6%), $126.88 million in FY2023 (+8.2%), $117.23 million in FY2022 (-4.0%) and $122.16 million in FY2021 (-2.2%).
- The Q2 2026 figure marks the highest quarterly Interest Expenses in data going back to Q3 2021.
- Compared with a year earlier, Interest Expenses has increased for five straight quarters, with growth averaging 25.3% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was Q4 2025 (growth of 66.3%); the worst was Q4 2022 (a decline of 5.8%).
- Per Business Quant data, GETY's Interest Expenses in the three quarters before Q2 2026 was $54.17 million (Q1 2026), $51.2 million (Q4 2025) and $35.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,072.47 Bn | 3,829.99 Bn | 73.85 Bn | - |
| 2 | Meta Platforms | 1,800.48 Bn | 1,503.00 Bn | 49.47 Bn | - |
| 3 | Netflix | 275.13 Bn | 235.33 Bn | 6.52 Bn | 175.69 Mn |
| 4 | Alibaba Group Holding | 242.50 Bn | 56.27 Bn | 15.11 Bn | -345.42 Mn |
| 5 | Shopify | 228.32 Bn | 205.50 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 138.93 Bn | 110.73 Bn | 6.38 Bn | 127.00 Mn |
| 7 | Booking Holdings | 122.37 Bn | 55.42 Bn | - | 300.00 Mn |
| 8 | PDD Holdings | 110.18 Bn | -133.59 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 107.34 Bn | 64.84 Bn | 1.86 Bn | -24.41 Mn |
| 10 | Getty Images Holdings | 7.13 Mn | -340.84 Mn | 160.81 Mn | 57.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.34 Mn |
| Mar 31, 2026 | 54.17 Mn |
| Dec 31, 2025 | 51.20 Mn |
| Sep 30, 2025 | 35.75 Mn |
| Jun 30, 2025 | 36.56 Mn |
| Mar 31, 2025 | 32.68 Mn |
| Dec 31, 2024 | 30.79 Mn |
| Sep 30, 2024 | 34.00 Mn |
| Jun 30, 2024 | 33.89 Mn |
| Mar 31, 2024 | 32.72 Mn |
| Dec 31, 2023 | 32.45 Mn |
| Sep 30, 2023 | 32.26 Mn |
| Jun 30, 2023 | 31.68 Mn |
| Mar 31, 2023 | 30.50 Mn |
| Dec 31, 2022 | 28.25 Mn |
| Sep 30, 2022 | 29.40 Mn |
| Jun 30, 2022 | 29.99 Mn |
| Mar 31, 2022 | 29.60 Mn |
| Dec 31, 2021 | 29.99 Mn |
| Sep 30, 2021 | 31.01 Mn |
Getty Images Holdings Interest 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=interest-expenses&ticker=GETY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=GETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();