Kanzhun (BZ) Operating Expenses (2020 - 2026)
Kanzhun's (BZ) quarterly Operating Expenses came in at -$227.3 million in Q2 2026, down 11.98% year-over-year from -$258.3 million in Q2 2025, and down 8.43% quarter-over-quarter from -$209.7 million in Q1 2026.
Kanzhun (BZ) Operating Expenses (2020 - 2026) Analysis & Trends
Kanzhun has disclosed Operating Expenses across 7 years of filings, most recently posting -$227.3 million for Q2 2026.
- In Q2 2026, Operating Expenses fell 11.98% year-over-year to -$227.3 million; the TTM figure through Jun 2026 stood at -$838.8 million (down 0.56% YoY), while the FY2025 annual figure was -$826.7 million, down 969685.87% from the prior year.
- Operating Expenses came in at -$227.3 million for Q2 2026 at Kanzhun, down from -$209.7 million in the prior quarter.
- In the past five years, Operating Expenses ranged from a high of $58349.0 in Q3 2023 to a low of -$227.3 million in Q2 2026.
- Average Operating Expenses over 5 years is -$155.1 million, with a median of -$199.8 million recorded in 2023.
- Year-over-year, Operating Expenses soared 100.04% in 2023 and tumbled 505011.47% in 2024.
- Over 5 years, Operating Expenses stood at -$206.8 million in 2022, then gained by 7.14% to -$192.0 million in 2023, then slipped by 3.9% to -$199.5 million in 2024, then climbed by 2.54% to -$194.4 million in 2025, then retreated by 16.92% to -$227.3 million in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were -$227.3 million in Q2 2026, -$209.7 million in Q1 2026, and -$194.4 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Automatic Data Processing | 107.89 Bn | 103.66 Bn | 2.51 Bn | 4.34 Bn |
| 2 | Paychex | 41.30 Bn | 40.16 Bn | 1.19 Bn | 1.00 Bn |
| 3 | Paycom Software | 10.03 Bn | 9.83 Bn | 412.40 Mn | 362.70 Mn |
| 4 | Paylocity Holding | 7.66 Bn | 7.38 Bn | 300.38 Mn | 215.96 Mn |
| 5 | Kanzhun | 6.89 Bn | 4.58 Bn | 306.38 Mn | -227.34 Mn |
| 6 | Alight | 312.06 Mn | 99.06 Mn | 142.00 Mn | 182.00 Mn |
| 7 | Asure Software | 233.76 Mn | 214.08 Mn | 25.06 Mn | 27.45 Mn |
| 8 | Dhi | 211.36 Mn | 207.59 Mn | 25.04 Mn | 27.53 Mn |
| 9 | CXApp | 4.15 Mn | 4.15 Mn | - | - |
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 | -206.77 Mn |
| Sep 30, 2022 | -146.78 Mn |
| Jun 30, 2022 | -155.54 Mn |
| Mar 31, 2022 | -1.92 Mn |
| Dec 31, 2021 | -132.03 Mn |
| Sep 30, 2021 | -140.29 Mn |
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_KEY
import 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();