Getty Images Holdings (GETY) Other Accumulated Expenses (2021 - 2022)
Getty Images Holdings' (GETY) quarterly Other Accumulated Expenses came in at $1.1 million in Q4 2022, down 52.35% on a YoY basis from $2.2 million in Q4 2021, and down 84.15% quarter-over-quarter from $6.7 million in Q3 2022.
Getty Images Holdings (GETY) Other Accumulated Expenses (2021 - 2022) Analysis & Trends
Getty Images Holdings (GETY) has reported Other Accumulated Expenses for 2 consecutive years, with $1.1 million the latest figure, recorded in Q4 2022.
- For the quarter ending Q4 2022, Other Accumulated Expenses fell 52.35% year-over-year to $1.1 million; the trailing twelve-month figure through Dec 2022 stood at $1.1 million (down 52.35% YoY), and the FY2022 full-year result was $1.1 million, down 52.35% from the prior year.
- Other Accumulated Expenses eased to $1.1 million in Q4 2022 per GETY's latest filing, from $6.7 million in the prior quarter.
- Across five years, Other Accumulated Expenses topped out at $6.7 million in Q3 2022 and bottomed at $1.1 million in Q4 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alibaba Group Holding | 268.88 Bn | 233.62 Bn | 15.11 Bn |
| 2 | Booking Holdings | 126.62 Bn | 109.41 Bn | 4.98 Bn |
| 3 | PDD Holdings | 112.86 Bn | 82.58 Bn | 9.45 Bn |
| 4 | Airbnb | 98.44 Bn | 86.37 Bn | 2.98 Bn |
| 5 | Mercadolibre | 92.29 Bn | 77.10 Bn | 4.16 Bn |
| 6 | Ebay | 48.19 Bn | 44.89 Bn | 2.30 Bn |
| 7 | Expedia | 32.17 Bn | 25.04 Bn | 3.91 Bn |
| 8 | Maplebear | 10.62 Bn | 9.77 Bn | 751.00 Mn |
| 9 | Full Truck Alliance | 7.66 Bn | 6.70 Bn | - |
| 10 | Getty Images Holdings | 96.83 Mn | -552.82 Mn | 160.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 1.06 Mn |
| Sep 30, 2022 | 6.66 Mn |
| Dec 31, 2021 | 2.21 Mn |
Getty Images Holdings Other 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=other-accumulated-expenses&ticker=GETY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=GETY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();