Bionano Genomics (BNGO) Other Operating Expenses (2017 - 2026)
Bionano Genomics (BNGO) recorded Other Operating Expenses of -$700,000 in Q2 2026, compared with -$600,000 a year earlier.
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Analysis
Bionano Genomics (BNGO) Other Operating Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, Bionano Genomics' Other Operating Expenses came in at -$1.4 million as of Jun 30, 2026; for FY2025, it was -$2.6 million.
- Across earlier years, Other Operating Expenses came in at $16.88 million in FY2024 (-78.2%) and $77.28 million in FY2023.
- Quarterly Other Operating Expenses has ranged from -$700,000 in Q1 2025 to $77.28 million in Q3 2023 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Bionano Genomics | 18.37 Mn | -46.87 Mn | 4.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -700,000.00 |
| Mar 31, 2026 | -700,000.00 |
| Jun 30, 2025 | -600,000.00 |
| Mar 31, 2025 | -700,000.00 |
| Dec 31, 2024 | -268,000.00 |
| Sep 30, 2024 | 19.50 Mn |
| Mar 31, 2024 | 448,000.00 |
| Sep 30, 2023 | 77.28 Mn |
| Dec 31, 2019 | -403.00 |
| Dec 31, 2018 | 1.00 |
| Dec 31, 2017 | 604,511.00 |
API Access
Bionano Genomics Other 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=other-operating-expenses&ticker=BNGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "BNGO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=BNGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();