iQIYI (IQ) Other Accumulated Expenses (2017 - 2025)
iQIYI's Other Accumulated Expenses came in at $113.32 million for the quarter ended Jun 30, 2026, down 50.6% from $229.53 million a year earlier but up 84.0% from the prior quarter.
iQIYI (IQ) Other Accumulated Expenses (2017 - 2025) Analysis & Trends
As of Dec 31, 2025, iQIYI's Other Accumulated Expenses was $524.11 million, up 18.1% from the prior year.
- Other Accumulated Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 28.4% (years ended Dec 2020 to Dec 2025).
- Going back by year, Other Accumulated Expenses was $443.75 million in the year ended Dec 31, 2024 (+6.7%), $416.01 million in the year ended Dec 31, 2023 (+264.8%), $114.04 million in the year ended Dec 31, 2022 (-18.5%) and $139.94 million in the year ended Dec 31, 2021 (-6.7%).
- The five-year range for quarterly Other Accumulated Expenses is $32.44 million (the quarter ended Sep 30, 2021) to $589.06 million (the quarter ended Dec 31, 2021).
- Year-over-year, Other Accumulated Expenses has declined for four consecutive quarters, with an average decline of 21.3% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in the quarter ended Dec 31, 2021 (growth of 298.8%), and the weakest in the quarter ended Dec 31, 2025 (a decline of 82.9%).
- Business Quant data shows IQ's Other Accumulated Expenses at $61.6 million (quarter ended Mar 31, 2026), $77.24 million (quarter ended Dec 31, 2025) and $81.74 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - |
| 10 | iQIYI | 417.93 Mn | -1.95 Bn | 152.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.17 Bn |
| Dec 31, 2024 | 1.04 Bn |
| Sep 30, 2024 | 1.07 Bn |
| Dec 31, 2023 | 955.76 Mn |
| Dec 31, 2022 | 112.96 Mn |
| Sep 30, 2022 | 103.59 Mn |
| Dec 31, 2021 | 139.95 Mn |
| Dec 31, 2020 | 150.10 Mn |
| Sep 30, 2020 | 185.02 Mn |
| Dec 31, 2019 | 169.41 Mn |
| Dec 31, 2018 | 136.09 Mn |
| Dec 31, 2017 | 65.73 Mn |
iQIYI 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=IQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "IQ", "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=IQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();