Bionano Genomics (BNGO) Non-Current Assets (2017 - 2026)
Bionano Genomics (BNGO) reported Non-Current Assets of $22.71 million for Q2 2026, down 31.9% from $33.35 million a year earlier and down 12.1% from the prior quarter.
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Analysis
Bionano Genomics (BNGO) Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Bionano Genomics posted Non-Current Assets of $28.2 million, down 24.2% from FY2024.
- Non-Current Assets has declined for three consecutive years, though with a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $37.18 million in FY2024 (-49.9%), $74.29 million in FY2023 (-50.5%), $150.2 million in FY2022 (+43.5%) and $104.69 million in FY2021 (+666.3%).
- The Q2 2026 figure ranks as the lowest quarterly Non-Current Assets since Q3 2021.
- Year over year, Non-Current Assets has now declined in each of the last 12 quarters, with an average decline of 38.4% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q4 2021 (growth of 666.3%); the low point was Q2 2024 (a decline of 53.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $25.83 million (Q1 2026), $28.2 million (Q4 2025) and $30.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Bionano Genomics | 19.79 Mn | -45.45 Mn | 4.31 Mn | 22.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.71 Mn |
| Mar 31, 2026 | 25.83 Mn |
| Dec 31, 2025 | 28.20 Mn |
| Sep 30, 2025 | 30.26 Mn |
| Jun 30, 2025 | 33.35 Mn |
| Mar 31, 2025 | 33.49 Mn |
| Dec 31, 2024 | 37.18 Mn |
| Sep 30, 2024 | 40.38 Mn |
| Jun 30, 2024 | 68.80 Mn |
| Mar 31, 2024 | 72.38 Mn |
| Dec 31, 2023 | 74.29 Mn |
| Sep 30, 2023 | 77.37 Mn |
| Jun 30, 2023 | 148.81 Mn |
| Mar 31, 2023 | 149.59 Mn |
| Dec 31, 2022 | 150.20 Mn |
| Sep 30, 2022 | 105.50 Mn |
| Jun 30, 2022 | 105.26 Mn |
| Mar 31, 2022 | 105.85 Mn |
| Dec 31, 2021 | 104.69 Mn |
| Sep 30, 2021 | 17.61 Mn |
API Access
Bionano Genomics Non-Current Assets 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-current-assets&ticker=BNGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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-current-assets&ticker=BNGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();