iQIYI (IQ) Operating Leases (2019 - 2026)
iQIYI's Operating Leases was $47.51 million in the quarter ended Jun 30, 2026, down 5.5% from $50.29 million a year earlier but up 0.3% from the prior quarter.
iQIYI (IQ) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Operating Leases at iQIYI came in at $48.66 million, down 23.1% from the prior year.
- Operating Leases shows a five-year compound annual growth rate of -16.2% (years ended Dec 2020 to Dec 2025).
- In earlier years, Operating Leases was $63.29 million in the year ended Dec 31, 2024 (-14.2%), $73.77 million in the year ended Dec 31, 2023 (unchanged), $73.74 million in the year ended Dec 31, 2022 (-24.9%) and $98.19 million in the year ended Dec 31, 2021 (-16.5%).
- Quarterly Operating Leases has moved between $27.68 million (the quarter ended Sep 30, 2021) and $97.87 million (the quarter ended Dec 31, 2021) over five years.
- Compared with a year earlier, Operating Leases has declined for seven straight quarters, with an average decline of 16.1% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was the quarter ended Sep 30, 2022 (growth of 167.9%); the worst was the quarter ended Sep 30, 2021 (a decline of 75.2%).
- Per Business Quant data, IQ's Operating Leases in the three quarters before the quarter ended Jun 30, 2026 was $47.35 million (quarter ended Mar 31, 2026), $47.97 million (quarter ended Dec 31, 2025) and $48.85 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn |
| 10 | iQIYI | 993.86 Mn | -1.37 Bn | 152.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.51 Mn |
| Mar 31, 2026 | 47.35 Mn |
| Dec 31, 2025 | 47.97 Mn |
| Sep 30, 2025 | 48.85 Mn |
| Jun 30, 2025 | 50.29 Mn |
| Mar 31, 2025 | 60.52 Mn |
| Dec 31, 2024 | 64.31 Mn |
| Sep 30, 2024 | 66.24 Mn |
| Jun 30, 2024 | 67.58 Mn |
| Mar 31, 2024 | 69.87 Mn |
| Dec 31, 2023 | 72.74 Mn |
| Sep 30, 2023 | 65.64 Mn |
| Jun 30, 2023 | 69.94 Mn |
| Mar 31, 2023 | 71.40 Mn |
| Dec 31, 2022 | 71.51 Mn |
| Sep 30, 2022 | 74.17 Mn |
| Jun 30, 2022 | 85.11 Mn |
| Mar 31, 2022 | 88.97 Mn |
| Dec 31, 2021 | 97.87 Mn |
| Sep 30, 2021 | 27.68 Mn |
iQIYI Operating Leases 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=operating-leases&ticker=IQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=IQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();