Kanzhun (BZ) Other Accumulated Expenses (2019 - 2026)
Kanzhun (BZ) reported Other Accumulated Expenses of $173.51 million for the quarter ended Jun 30, 2026, up 75.4% from $98.94 million a year earlier and up 10.5% from the prior quarter.
Kanzhun (BZ) Other Accumulated Expenses (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Kanzhun posted Other Accumulated Expenses of $131.75 million, up 17.9% from the prior year.
- Other Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 37.8% (years ended Dec 2020 to Dec 2025).
- By year, Other Accumulated Expenses came in at $111.76 million in the year ended Dec 31, 2024 (+1.9%), $109.73 million in the year ended Dec 31, 2023 (+19.5%), $91.85 million in the year ended Dec 31, 2022 (-9.3%) and $101.24 million in the year ended Dec 31, 2021 (+281.1%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Other Accumulated Expenses in data going back to the quarter ended Dec 31, 2019.
- Year over year, Other Accumulated Expenses has now increased in each of the last ten quarters, with growth averaging 25.6% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was the quarter ended Dec 31, 2021 (growth of 389.3%); the low point was the quarter ended Dec 31, 2023 (a decline of 24.6%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $157.07 million (quarter ended Mar 31, 2026), $129.9 million (quarter ended Dec 31, 2025) and $115.88 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 466.13 Bn | 435.08 Bn | 1.64 Bn |
| 2 | Oracle | 383.82 Bn | 255.95 Bn | - |
| 3 | Sap Se | 263.61 Bn | 191.39 Bn | 8.40 Bn |
| 4 | Salesforce | 198.89 Bn | 154.76 Bn | 8.70 Bn |
| 5 | ServiceNow | 149.64 Bn | 128.10 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 115.45 Bn | 97.58 Bn | 2.51 Bn |
| 7 | Intuit | 89.90 Bn | 69.25 Bn | 3.44 Bn |
| 8 | Relx | 71.97 Bn | 71.07 Bn | - |
| 9 | Thomson Reuters | 48.55 Bn | 45.33 Bn | - |
| 10 | Kanzhun | 7.52 Bn | -795.27 Mn | 306.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 173.51 Mn |
| Mar 31, 2026 | 157.07 Mn |
| Dec 31, 2025 | 4.13 Mn |
| Sep 30, 2025 | 115.88 Mn |
| Jun 30, 2025 | 98.94 Mn |
| Mar 31, 2025 | 113.22 Mn |
| Dec 31, 2024 | 4.93 Mn |
| Sep 30, 2024 | 91.86 Mn |
| Jun 30, 2024 | 84.56 Mn |
| Mar 31, 2024 | 98.41 Mn |
| Dec 31, 2023 | 2.51 Mn |
| Sep 30, 2023 | 81.23 Mn |
| Jun 30, 2023 | 71.71 Mn |
| Mar 31, 2023 | 57.24 Mn |
| Dec 31, 2022 | 8.01 Mn |
| Sep 30, 2022 | 5.55 Mn |
| Jun 30, 2022 | 5.95 Mn |
| Mar 31, 2022 | 72.13 Mn |
| Dec 31, 2021 | 4.81 Mn |
| Sep 30, 2021 | 68.32 Mn |
Kanzhun 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=BZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "BZ", "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=BZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();