Bionano Genomics (BNGO) Assets (2017 - 2026)
Bionano Genomics (BNGO) posted Assets of $47.59 million for Q2 2026, down 37.4% from $76.01 million a year earlier and down 26.6% from the prior quarter.
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Analysis
Bionano Genomics (BNGO) Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Bionano Genomics' Assets came in at $73.58 million, down 4.0% from FY2024.
- Annual Assets has declined for four consecutive years, though with a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- In prior years, Bionano Genomics' Assets was $76.67 million in FY2024 (-64.2%), $214.4 million in FY2023 (-30.3%), $307.5 million in FY2022 (-18.5%) and $377.1 million in FY2021 (+523.8%).
- The Q2 2026 figure stands as the lowest quarterly Assets since Q3 2020.
- On a year-over-year basis, Assets has declined in each of the last 18 quarters, with an average decline of 34.5% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was Q3 2021, with growth of 768.8%; the weakest was Q4 2024, with a decline of 64.2%.
- According to Business Quant data, Assets for the three prior quarters was $64.8 million (Q1 2026), $73.58 million (Q4 2025) and $79.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 113.17 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 109.22 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 92.37 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 20.88 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 93.31 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 47.93 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 45.22 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 50.73 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 13.87 Bn |
| 10 | Bionano Genomics | 19.79 Mn | -45.45 Mn | 4.31 Mn | 47.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.59 Mn |
| Mar 31, 2026 | 64.80 Mn |
| Dec 31, 2025 | 73.58 Mn |
| Sep 30, 2025 | 79.06 Mn |
| Jun 30, 2025 | 76.01 Mn |
| Mar 31, 2025 | 78.41 Mn |
| Dec 31, 2024 | 76.67 Mn |
| Sep 30, 2024 | 87.36 Mn |
| Jun 30, 2024 | 129.36 Mn |
| Mar 31, 2024 | 158.00 Mn |
| Dec 31, 2023 | 214.40 Mn |
| Sep 30, 2023 | 181.90 Mn |
| Jun 30, 2023 | 271.38 Mn |
| Mar 31, 2023 | 292.15 Mn |
| Dec 31, 2022 | 307.50 Mn |
| Sep 30, 2022 | 323.70 Mn |
| Jun 30, 2022 | 321.55 Mn |
| Mar 31, 2022 | 348.21 Mn |
| Dec 31, 2021 | 377.10 Mn |
| Sep 30, 2021 | 359.66 Mn |
API Access
Bionano Genomics 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=assets&ticker=BNGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=assets&ticker=BNGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();