Zhihu (ZH) Other Accumulated Expenses (2019 - 2026)
Zhihu (ZH) reported Other Accumulated Expenses of $16.64 million for the quarter ended Jun 30, 2026, up 0.7% from $16.52 million a year earlier and up 2.0% from the prior quarter.
Zhihu (ZH) Other Accumulated Expenses (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Zhihu posted Other Accumulated Expenses of $2.31 million, up 146.7% from the prior year.
- Other Accumulated Expenses has a five-year compound annual growth rate of -24.5% (years ended Dec 2020 to Dec 2025).
- By year, Other Accumulated Expenses came in at $935,000 in the year ended Dec 31, 2024 (-74.5%), $3.67 million in the year ended Dec 31, 2023 (-84.7%), $24 million in the year ended Dec 31, 2022 (+20.0%) and $20 million in the year ended Dec 31, 2021 (+112.4%).
- Five-year quarterly Other Accumulated Expenses spans a low of $950,147 in the quarter ended Dec 31, 2024 and a high of $479.71 million in the quarter ended Dec 31, 2022.
- Year over year, Other Accumulated Expenses gained in 1 of the last seven quarters, with an average decline of 28.8%.
- The high point for year-over-year Other Accumulated Expenses in five years was the quarter ended Dec 31, 2021 (growth of 103.4%); the low point was the quarter ended Dec 31, 2024 (a decline of 99.8%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $16.31 million (quarter ended Mar 31, 2026), $17.52 million (quarter ended Dec 31, 2025) and $18.67 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn |
| 10 | Zhihu | 276.19 Mn | -2.00 Bn | 57.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.64 Mn |
| Mar 31, 2026 | 16.31 Mn |
| Dec 31, 2025 | 17.52 Mn |
| Sep 30, 2025 | 18.67 Mn |
| Jun 30, 2025 | 16.52 Mn |
| Mar 31, 2025 | 17.39 Mn |
| Dec 31, 2024 | 950,147.28 |
| Sep 30, 2024 | 21.17 Mn |
| Jun 30, 2024 | 21.88 Mn |
| Mar 31, 2024 | 22.97 Mn |
| Dec 31, 2023 | 467.78 Mn |
| Sep 30, 2023 | 32.76 Mn |
| Jun 30, 2023 | 31.64 Mn |
| Mar 31, 2023 | 25.40 Mn |
| Dec 31, 2022 | 479.71 Mn |
| Sep 30, 2022 | 30.16 Mn |
| Jun 30, 2022 | 32.33 Mn |
| Mar 31, 2022 | 19.59 Mn |
| Dec 31, 2021 | 19.93 Mn |
| Sep 30, 2021 | 18.83 Mn |
Zhihu 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=ZH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "ZH", "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=ZH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();