Kanzhun (BZ) Operating Expenses (2020 - 2026)
Kanzhun's Operating Expenses was -$227.34 million in the quarter ended Jun 30, 2026, compared with -$203.02 million a year earlier.
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Analysis
Kanzhun (BZ) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Kanzhun's Operating Expenses was -$838.8 million through Jun 30, 2026; for the year ended Dec 31, 2025, it was -$826.73 million.
- In earlier years, Operating Expenses was -$85,248 in the year ended Dec 31, 2024, -$761.48 million in the year ended Dec 31, 2023, -$675.37 million in the year ended Dec 31, 2022 and -$792.83 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Operating Expenses since the quarter ended Jun 30, 2021.
- Per Business Quant data, BZ's Operating Expenses in the three quarters before the quarter ended Jun 30, 2026 was -$209.66 million (quarter ended Mar 31, 2026), -$194.44 million (quarter ended Dec 31, 2025) and -$207.36 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 466.13 Bn | 435.08 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 383.82 Bn | 255.95 Bn | - | 12.62 Bn |
| 3 | Sap Se | 263.61 Bn | 191.39 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 198.89 Bn | 154.76 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 149.64 Bn | 128.10 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 115.45 Bn | 97.58 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 89.90 Bn | 69.25 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 71.97 Bn | 71.07 Bn | - | - |
| 9 | Thomson Reuters | 48.55 Bn | 45.33 Bn | - | -1.21 Bn |
| 10 | Kanzhun | 7.52 Bn | -795.27 Mn | 306.38 Mn | -227.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -227.34 Mn |
| Mar 31, 2026 | -209.66 Mn |
| Dec 31, 2025 | -194.44 Mn |
| Sep 30, 2025 | -207.36 Mn |
| Jun 30, 2025 | -203.02 Mn |
| Mar 31, 2025 | -205.48 Mn |
| Dec 31, 2024 | -199.51 Mn |
| Sep 30, 2024 | -226.13 Mn |
| Jun 30, 2024 | -215.58 Mn |
| Mar 31, 2024 | -94,600.00 |
| Dec 31, 2023 | -192.01 Mn |
| Sep 30, 2023 | 58,349.00 |
| Jun 30, 2023 | 42,696.00 |
| Mar 31, 2023 | -200.02 Mn |
| Dec 31, 2022 | 200.52 Mn |
| Sep 30, 2022 | -146.78 Mn |
| Jun 30, 2022 | -155.54 Mn |
| Mar 31, 2022 | -1.92 Mn |
| Dec 31, 2021 | 131.60 Mn |
| Sep 30, 2021 | -140.29 Mn |
API Access
Kanzhun 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=BZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=BZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();