Bnb Plus (BNBX) Operating Expenses (2010 - 2026)
Bnb Plus (BNBX) recorded Operating Expenses of $3.69 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 0.3% from $3.7 million a year earlier and down 51.3% from the prior quarter.
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Analysis
Bnb Plus (BNBX) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Bnb Plus' Operating Expenses came in at $36.12 million as of Jun 30, 2026, up 149.1% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $16.89 million, up 15.3% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $14.64 million in FY2024 (-11.2%), $16.49 million in FY2023 (-13.3%), $19.02 million in FY2022 (+6.7%) and $17.83 million in FY2021 (+30.7%).
- The fiscal Q3 2026 figure is the lowest quarterly Operating Expenses since fiscal Q1 2025.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with growth averaging 71.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 430.8% in fiscal Q1 2026, against a decline of 38.2% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $7.58 million (Q2 2026), $19.02 million (Q1 2026) and $5.83 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 255.08 Bn | 234.11 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 177.63 Bn | 148.06 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 157.87 Bn | 141.68 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 155.21 Bn | 134.63 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 121.11 Bn | 86.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 116.85 Bn | 102.97 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 66.97 Bn | 61.74 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 53.15 Bn | 50.30 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.82 Bn | 34.83 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Bnb Plus | 878,330.75 | -7.95 Mn | 447,122.00 | 3.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.69 Mn |
| Mar 31, 2026 | 7.58 Mn |
| Dec 31, 2025 | 19.02 Mn |
| Sep 30, 2025 | 5.83 Mn |
| Jun 30, 2025 | 3.70 Mn |
| Mar 31, 2025 | 3.77 Mn |
| Dec 31, 2024 | 3.58 Mn |
| Sep 30, 2024 | 3.44 Mn |
| Jun 30, 2024 | 3.55 Mn |
| Mar 31, 2024 | 3.91 Mn |
| Dec 31, 2023 | 4.02 Mn |
| Sep 30, 2023 | 4.25 Mn |
| Jun 30, 2023 | 4.13 Mn |
| Mar 31, 2023 | 4.51 Mn |
| Dec 31, 2022 | 3.60 Mn |
| Sep 30, 2022 | 4.67 Mn |
| Jun 30, 2022 | 3.90 Mn |
| Mar 31, 2022 | 4.64 Mn |
| Dec 31, 2021 | 5.82 Mn |
| Sep 30, 2021 | 5.62 Mn |
API Access
Bnb Plus 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=BNBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BNBX", "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=BNBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();