Sohu.com (SOHU) Operating Expenses (2017 - 2026)
Sohu.com (SOHU) posted Operating Expenses of $124.88 million for Q2 2026, up 3.8% from $120.29 million a year earlier and up 5.6% from the prior quarter.
Sohu.com (SOHU) Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Sohu.com was $547.92 million, up 11.8% year-over-year; for FY2025, it came in at $546.65 million, up 0.9% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- In prior years, Sohu.com's Operating Expenses was $541.97 million in FY2024 (unchanged), $542.23 million in FY2023 (-0.2%), $543.17 million in FY2022 (-41.9%) and $934.17 million in FY2021 (+103.5%).
- Quarterly Operating Expenses has run from a low of $118.21 million in Q1 2026 to a high of $173.12 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with growth averaging 0.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2025, with growth of 40.9%; the weakest was Q2 2025, with a decline of 24.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $118.21 million (Q1 2026), $173.12 million (Q4 2025) and $131.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 640.46 Mn |
| 10 | Sohu.com | 336.81 Mn | -3.01 Bn | 133.81 Mn | 124.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 124.88 Mn |
| Mar 31, 2026 | 118.21 Mn |
| Dec 31, 2025 | 173.12 Mn |
| Sep 30, 2025 | 131.72 Mn |
| Jun 30, 2025 | 120.29 Mn |
| Mar 31, 2025 | 121.53 Mn |
| Dec 31, 2024 | 122.84 Mn |
| Sep 30, 2024 | 125.42 Mn |
| Jun 30, 2024 | 160.16 Mn |
| Mar 31, 2024 | 133.55 Mn |
| Dec 31, 2023 | 132.82 Mn |
| Sep 30, 2023 | 131.59 Mn |
| Jun 30, 2023 | 138.02 Mn |
| Mar 31, 2023 | 139.80 Mn |
| Dec 31, 2022 | 130.18 Mn |
| Sep 30, 2022 | 149.66 Mn |
| Jun 30, 2022 | 131.69 Mn |
| Mar 31, 2022 | 131.64 Mn |
| Dec 31, 2021 | 144.16 Mn |
| Sep 30, 2021 | 134.54 Mn |
Sohu.com Operating 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=operating-expenses&ticker=SOHU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SOHU", "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-expenses&ticker=SOHU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();