Getty Images Holdings (GETY) Receivables (2021 - 2026)
Getty Images Holdings' Receivables came in at $171.36 million for Q2 2026, down 14.4% from $200.28 million a year earlier and down 23.6% from the prior quarter.
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Analysis
Getty Images Holdings (GETY) Receivables (2021 - 2026) Analysis & Trends
At the end of FY2025, Getty Images Holdings' Receivables was $243.42 million, up 24.1% from FY2024.
- Receivables has increased in each of the last three years, with a four-year compound annual growth rate of 14.2% (FY2021 to FY2025).
- Going back by year, Receivables was $196.13 million in FY2024 (+4.7%), $187.35 million in FY2023 (+44.6%), $129.6 million in FY2022 (-9.6%) and $143.36 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Receivables since Q2 2024.
- Year-over-year, Receivables increased in six of the last eight quarters, with growth averaging 7.8%.
- The fastest year-over-year change in Receivables over five years came in Q3 2023 (growth of 49.5%), and the weakest in Q2 2026 (a decline of 14.4%).
- Business Quant data shows GETY's Receivables at $224.23 million (Q1 2026), $243.42 million (Q4 2025) and $203.18 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,151.88 Bn | 3,909.40 Bn | 73.85 Bn | 69.18 Bn |
| 2 | Meta Platforms | 1,762.64 Bn | 1,465.16 Bn | 49.47 Bn | 21.75 Bn |
| 3 | Netflix | 292.69 Bn | 252.88 Bn | 6.52 Bn | - |
| 4 | Alibaba Group Holding | 252.04 Bn | 65.81 Bn | 15.11 Bn | - |
| 5 | Shopify | 225.50 Bn | 202.68 Bn | 1.71 Bn | 466.00 Mn |
| 6 | Uber Technologies | 140.38 Bn | 112.18 Bn | 6.38 Bn | 4.30 Bn |
| 7 | Booking Holdings | 125.68 Bn | 58.73 Bn | - | 4.34 Bn |
| 8 | PDD Holdings | 113.82 Bn | -129.95 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 109.26 Bn | 66.77 Bn | 1.86 Bn | 890.92 Mn |
| 10 | Getty Images Holdings | 6.29 Mn | -341.68 Mn | 160.81 Mn | 171.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 171.36 Mn |
| Mar 31, 2026 | 224.23 Mn |
| Dec 31, 2025 | 243.42 Mn |
| Sep 30, 2025 | 203.18 Mn |
| Jun 30, 2025 | 200.28 Mn |
| Mar 31, 2025 | 198.70 Mn |
| Dec 31, 2024 | 196.13 Mn |
| Sep 30, 2024 | 182.67 Mn |
| Jun 30, 2024 | 167.78 Mn |
| Mar 31, 2024 | 186.13 Mn |
| Dec 31, 2023 | 187.35 Mn |
| Sep 30, 2023 | 186.17 Mn |
| Jun 30, 2023 | 121.66 Mn |
| Mar 31, 2023 | 135.20 Mn |
| Dec 31, 2022 | 129.60 Mn |
| Sep 30, 2022 | 124.51 Mn |
| Dec 31, 2021 | 143.36 Mn |
API Access
Getty Images Holdings Receivables 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=receivables&ticker=GETY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();