iQIYI (IQ) Accumulated Expenses (2017 - 2026)
iQIYI (IQ) posted Accumulated Expenses of $386.29 million for the quarter ended Jun 30, 2026, up 2.5% from $376.82 million a year earlier but down 0.1% from the prior quarter.
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Analysis
iQIYI (IQ) Accumulated Expenses (2017 - 2026) Analysis & Trends
As of Dec 31, 2025, iQIYI's Accumulated Expenses came in at $278.55 million, up 7.1% from the prior year.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -4.3% (years ended Dec 2020 to Dec 2025).
- In prior years, iQIYI's Accumulated Expenses was $260.17 million in the year ended Dec 31, 2024 (-3.3%), $269.05 million in the year ended Dec 31, 2023 (+0.9%), $266.73 million in the year ended Dec 31, 2022 (-25.5%) and $357.83 million in the year ended Dec 31, 2021 (+3.2%).
- Quarterly Accumulated Expenses has run from a low of $235.02 million in the quarter ended Sep 30, 2022 to a high of $549.85 million in the quarter ended Sep 30, 2021 over five years.
- On a year-over-year basis, Accumulated Expenses increased in three of the last eight quarters, with growth averaging 5.1%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was the quarter ended Sep 30, 2021, with growth of 72.6%; the weakest was the quarter ended Sep 30, 2022, with a decline of 57.3%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $386.65 million (quarter ended Mar 31, 2026), $389.47 million (quarter ended Dec 31, 2025) and $361.74 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | iQIYI | 964.91 Mn | -1.40 Bn | 152.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 386.29 Mn |
| Mar 31, 2026 | 386.65 Mn |
| Dec 31, 2025 | 389.47 Mn |
| Sep 30, 2025 | 361.74 Mn |
| Jun 30, 2025 | 376.82 Mn |
| Mar 31, 2025 | 418.57 Mn |
| Dec 31, 2024 | 264.38 Mn |
| Sep 30, 2024 | 264.82 Mn |
| Jun 30, 2024 | 422.31 Mn |
| Mar 31, 2024 | 435.15 Mn |
| Dec 31, 2023 | 265.30 Mn |
| Sep 30, 2023 | 345.14 Mn |
| Jun 30, 2023 | 338.75 Mn |
| Mar 31, 2023 | 387.38 Mn |
| Dec 31, 2022 | 258.67 Mn |
| Sep 30, 2022 | 235.02 Mn |
| Jun 30, 2022 | 409.83 Mn |
| Mar 31, 2022 | 450.98 Mn |
| Dec 31, 2021 | 356.66 Mn |
| Sep 30, 2021 | 549.85 Mn |
API Access
iQIYI 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=accumulated-expenses&ticker=IQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=IQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();