Bionano Genomics (BNGO) Non Operating Interest Expenses (2017 - 2024)
Bionano Genomics (BNGO) reported Non Operating Interest Expenses of $122,000 for Q1 2024, up 60.5% from $76,000 a year earlier but down 97.5% from the prior quarter.
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Analysis
Bionano Genomics (BNGO) Non Operating Interest Expenses (2017 - 2024) Analysis & Trends
Over the twelve months ended Mar 31, 2024, Bionano Genomics' Non Operating Interest Expenses came in at $5.17 million; for FY2023, it came in at $5.12 million.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 30.0% (FY2018 to FY2023).
- By year, Non Operating Interest Expenses came in at $298,000 in FY2022 (-67.9%), $927,000 in FY2021 (-63.2%), $2.52 million in FY2020 (+10.2%) and $2.29 million in FY2019 (+65.5%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $2,000 in Q3 2021 and a high of $4.9 million in Q4 2023.
- Year over year, Non Operating Interest Expenses gained in two of the last six quarters, with growth averaging 26.5%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q1 2020 (growth of 178.8%); the low point was Q3 2021 (a decline of 99.7%).
- Per Business Quant data, the three quarters before Q1 2024 came in at $4.9 million (Q4 2023), $71,000 (Q3 2023) and $74,000 (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Bionano Genomics | 18.37 Mn | -46.87 Mn | 4.31 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 122,000.00 |
| Dec 31, 2023 | 4.90 Mn |
| Sep 30, 2023 | 71,000.00 |
| Jun 30, 2023 | 74,000.00 |
| Mar 31, 2023 | 76,000.00 |
| Dec 31, 2022 | 75,000.00 |
| Sep 30, 2022 | 73,000.00 |
| Jun 30, 2022 | 74,000.00 |
| Mar 31, 2022 | 77,000.00 |
| Dec 31, 2021 | 27,000.00 |
| Sep 30, 2021 | 2,000.00 |
| Jun 30, 2021 | 300,000.00 |
| Mar 31, 2021 | 603,000.00 |
| Dec 31, 2020 | 608,000.00 |
| Sep 30, 2020 | 589,000.00 |
| Jun 30, 2020 | 561,000.00 |
| Mar 31, 2020 | 761,000.00 |
| Dec 31, 2019 | 673,196.00 |
| Sep 30, 2019 | 578,000.00 |
| Jun 30, 2019 | 645,000.00 |
API Access
Bionano Genomics Non Operating Interest 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=non-operating-interest-expenses&ticker=BNGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=BNGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();