Getty Images Holdings (GETY) Long-Term Debt Repayments (2021 - 2026)
Getty Images Holdings' Long-Term Debt Repayments was $36.42 million in Q2 2026, up 487.3% from $6.2 million a year earlier and up 460.0% from the prior quarter.
Getty Images Holdings (GETY) Long-Term Debt Repayments (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Getty Images Holdings' Long-Term Debt Repayments was $55.69 million through Jun 30, 2026, down 94.7% year-over-year; for FY2025, it was $1.04 billion.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 81.9% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $57.8 million in FY2024 (+14.7%), $50.4 million in FY2023 (-83.8%), $310.4 million in FY2022 and $17.45 million in FY2021 (-66.4%).
- The Q2 2026 figure marks the highest quarterly Long-Term Debt Repayments since Q1 2025.
- Compared with a year earlier, Long-Term Debt Repayments was higher in two of the last seven quarters, with growth averaging 53.1%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q2 2023 (growth of 769.2%); the worst was Q1 2026 (a decline of 99.4%).
- Per Business Quant data, GETY's Long-Term Debt Repayments in the three quarters before Q2 2026 was $6.5 million (Q1 2026), $6.36 million (Q4 2025) and $6.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,071.44 Bn | 3,828.96 Bn | 73.85 Bn | 3.78 Bn |
| 2 | Meta Platforms | 1,777.07 Bn | 1,479.59 Bn | 49.47 Bn | 962.00 Mn |
| 3 | Netflix | 272.74 Bn | 232.94 Bn | 6.52 Bn | - |
| 4 | Alibaba Group Holding | 242.17 Bn | 55.95 Bn | 15.11 Bn | - |
| 5 | Shopify | 225.98 Bn | 203.16 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 137.80 Bn | 109.60 Bn | 6.38 Bn | 2.04 Bn |
| 7 | Booking Holdings | 121.57 Bn | 54.62 Bn | - | 1.00 Bn |
| 8 | PDD Holdings | 110.14 Bn | -133.64 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 107.49 Bn | 64.99 Bn | 1.86 Bn | - |
| 10 | Getty Images Holdings | 8.39 Mn | -339.58 Mn | 160.81 Mn | 36.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.42 Mn |
| Mar 31, 2026 | 6.50 Mn |
| Dec 31, 2025 | 6.36 Mn |
| Sep 30, 2025 | 6.41 Mn |
| Jun 30, 2025 | 6.20 Mn |
| Mar 31, 2025 | 1.02 Bn |
| Dec 31, 2024 | 2.60 Mn |
| Sep 30, 2024 | 20.00 Mn |
| Jun 30, 2024 | 32.60 Mn |
| Mar 31, 2024 | 2.60 Mn |
| Dec 31, 2023 | 2.60 Mn |
| Sep 30, 2023 | 22.60 Mn |
| Jun 30, 2023 | 22.60 Mn |
| Mar 31, 2023 | 2.60 Mn |
| Dec 31, 2022 | 2.60 Mn |
| Sep 30, 2022 | 302.60 Mn |
| Jun 30, 2022 | 2.60 Mn |
| Mar 31, 2022 | 2.60 Mn |
| Dec 31, 2021 | 2.60 Mn |
Getty Images Holdings Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=GETY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=GETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();