Bnb Plus (BNBX) Total Liabilities (2010 - 2026)
Bnb Plus' Total Liabilities was $5.51 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 87.0% from $2.95 million a year earlier and up 266.1% from the prior quarter.
Bnb Plus (BNBX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Total Liabilities at Bnb Plus came in at $2.13 million, down 44.2% from FY2024.
- Total Liabilities has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -17.7% (FY2020 to FY2025).
- In earlier fiscal years, Total Liabilities was $3.82 million in FY2024 (-56.5%), $8.78 million in FY2023 (-6.2%), $9.36 million in FY2022 (+183.2%) and $3.3 million in FY2021 (-41.3%).
- The fiscal Q3 2026 figure marks the highest quarterly Total Liabilities since fiscal Q2 2024.
- Compared with a year earlier, Total Liabilities was higher in 1 of the last eight quarters, with an average decline of 29.9%.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q1 2023 (growth of 270.0%); the worst was fiscal Q2 2025 (a decline of 69.9%).
- Per Business Quant data, BNBX's Total Liabilities in the three fiscal quarters before Q3 2026 was $1.5 million (Q2 2026), $2.24 million (Q1 2026) and $2.13 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Bnb Plus | 1.17 Mn | -8.03 Mn | 447,122.00 | 5.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.51 Mn |
| Mar 31, 2026 | 1.50 Mn |
| Dec 31, 2025 | 2.24 Mn |
| Sep 30, 2025 | 2.13 Mn |
| Jun 30, 2025 | 2.95 Mn |
| Mar 31, 2025 | 2.81 Mn |
| Dec 31, 2024 | 3.42 Mn |
| Sep 30, 2024 | 3.82 Mn |
| Jun 30, 2024 | 4.46 Mn |
| Mar 31, 2024 | 9.35 Mn |
| Dec 31, 2023 | 5.78 Mn |
| Sep 30, 2023 | 8.78 Mn |
| Jun 30, 2023 | 8.60 Mn |
| Mar 31, 2023 | 9.21 Mn |
| Dec 31, 2022 | 11.14 Mn |
| Sep 30, 2022 | 9.36 Mn |
| Jun 30, 2022 | 5.13 Mn |
| Mar 31, 2022 | 6.23 Mn |
| Dec 31, 2021 | 3.01 Mn |
| Sep 30, 2021 | 3.30 Mn |
Bnb Plus Total Liabilities 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=total-liabilities&ticker=BNBX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BNBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();