Bionano Genomics (BNGO) Total Non-Current Liabilities (2017 - 2024)
Bionano Genomics' Total Non-Current Liabilities came in at $41.3 million for Q4 2024, down 61.5% from $107.36 million a year earlier but up 7.3% from the prior quarter.
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Analysis
Bionano Genomics (BNGO) Total Non-Current Liabilities (2017 - 2024) Analysis & Trends
Going back to Q4 2017, Bionano Genomics' Total Non-Current Liabilities data covers 24 quarters.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 9.2% (FY2019 to FY2024).
- Going back by year, Total Non-Current Liabilities was $107.36 million in FY2023 (+137.9%), $45.13 million in FY2022 (+46.0%), $30.92 million in FY2021 (+21.9%) and $25.37 million in FY2020 (-4.5%).
- The five-year range for quarterly Total Non-Current Liabilities is $17.86 million (Q3 2021) to $107.36 million (Q4 2023).
- Year-over-year, Total Non-Current Liabilities increased in five of the last seven quarters, with growth averaging 18.0%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2023 (growth of 137.9%), and the weakest in Q4 2024 (a decline of 61.5%).
- Business Quant data shows BNGO's Total Non-Current Liabilities at $38.5 million (Q3 2024), $43.26 million (Q2 2024) and $64.98 million (Q1 2024) in the three quarters before Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Bionano Genomics | 18.37 Mn | -46.87 Mn | 4.31 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 41.30 Mn |
| Sep 30, 2024 | 38.50 Mn |
| Jun 30, 2024 | 43.26 Mn |
| Mar 31, 2024 | 64.98 Mn |
| Dec 31, 2023 | 107.36 Mn |
| Sep 30, 2023 | 48.03 Mn |
| Jun 30, 2023 | 42.06 Mn |
| Mar 31, 2023 | 46.99 Mn |
| Dec 31, 2022 | 45.13 Mn |
| Sep 30, 2022 | 41.96 Mn |
| Jun 30, 2022 | 36.82 Mn |
| Dec 31, 2021 | 30.92 Mn |
| Sep 30, 2021 | 17.86 Mn |
| Dec 31, 2020 | 25.37 Mn |
| Sep 30, 2020 | 26.65 Mn |
| Jun 30, 2020 | 21.37 Mn |
| Mar 31, 2020 | 23.32 Mn |
| Dec 31, 2019 | 26.55 Mn |
| Sep 30, 2019 | 26.44 Mn |
| Jun 30, 2019 | 26.38 Mn |
API Access
Bionano Genomics Total Non-Current 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-non-current-liabilities&ticker=BNGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=BNGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();