Bonk (BNKK) Operating Expenses (2019 - 2026)
Bonk (BNKK) reported Operating Expenses of $2.42 million for Q2 2026, down 44.4% from $4.36 million a year earlier but up 9.3% from the prior quarter.
Bonk (BNKK) Operating Expenses (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bonk's Operating Expenses came in at $35.55 million, up 27.8% year-over-year; for FY2025, it came in at $40.68 million, up 2.7% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 43.8% (FY2020 to FY2025).
- By year, Operating Expenses came in at $39.61 million in FY2024 (+216.3%), $12.52 million in FY2023 (-11.0%), $14.08 million in FY2022 (-49.0%) and $27.61 million in FY2021 (+317.2%).
- Five-year quarterly Operating Expenses spans a low of $1.24 million in Q1 2023 and a high of $17.27 million in Q4 2021.
- Year over year, Operating Expenses gained in four of the last eight quarters, with growth averaging 18.1%.
- The high point for year-over-year Operating Expenses in five years was Q1 2024 (growth of 940.7%); the low point was Q2 2022 (a decline of 63.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.22 million (Q1 2026), $13.69 million (Q4 2025) and $17.22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 426.96 Bn | 415.44 Bn | 8.45 Bn | 3.98 Bn |
| 2 | Diageo | 247.11 Bn | 229.26 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 202.87 Bn | 202.87 Bn | 37.08 Bn | 26.01 Bn |
| 4 | Pepsico | 198.20 Bn | 156.16 Bn | 13.75 Bn | 9.49 Bn |
| 5 | Anheuser-Busch InBev | 152.44 Bn | 152.44 Bn | 27,528.00 | 11.48 Bn |
| 6 | Monster Beverage | 90.94 Bn | 88.18 Bn | 1.40 Bn | 682.02 Mn |
| 7 | Coca-Cola Europacific Partners | 53.25 Bn | 46.47 Bn | - | 1.63 Bn |
| 8 | Keurig Dr Pepper | 49.46 Bn | 48.93 Bn | 3.53 Bn | 2.14 Bn |
| 9 | Ambev | 43.50 Bn | 28.41 Bn | 2.14 Bn | 281.32 Mn |
| 10 | Bonk | 7.52 Mn | -4.90 Mn | 391,050.00 | 2.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.42 Mn |
| Mar 31, 2026 | 2.22 Mn |
| Dec 31, 2025 | 13.69 Mn |
| Sep 30, 2025 | 17.22 Mn |
| Jun 30, 2025 | 4.36 Mn |
| Mar 31, 2025 | 5.41 Mn |
| Dec 31, 2024 | 6.69 Mn |
| Sep 30, 2024 | 11.35 Mn |
| Jun 30, 2024 | 8.62 Mn |
| Mar 31, 2024 | 12.96 Mn |
| Dec 31, 2023 | 5.48 Mn |
| Sep 30, 2023 | 4.09 Mn |
| Jun 30, 2023 | 1.74 Mn |
| Mar 31, 2023 | 1.24 Mn |
| Dec 31, 2022 | 8.04 Mn |
| Sep 30, 2022 | 1.98 Mn |
| Jun 30, 2022 | 1.40 Mn |
| Mar 31, 2022 | 2.98 Mn |
| Dec 31, 2021 | 17.27 Mn |
| Sep 30, 2021 | 3.61 Mn |
Bonk 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=BNKK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BNKK", "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=BNKK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();