Bionano Genomics (BNGO) Cash & Equivalents (2017 - 2026)
Bionano Genomics (BNGO) posted Cash & Equivalents of $3.73 million for Q2 2026, up 4.7% from $3.56 million a year earlier and up 8.9% from the prior quarter.
Bionano Genomics (BNGO) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025, Bionano Genomics' Cash & Equivalents came in at $2.99 million, down 67.4% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -40.0% (FY2020 to FY2025).
- In prior years, Bionano Genomics' Cash & Equivalents was $9.17 million in FY2024 (-48.9%), $17.95 million in FY2023 (+252.5%), $5.09 million in FY2022 (-79.3%) and $24.57 million in FY2021 (-36.1%).
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents since Q4 2024.
- On a year-over-year basis, Cash & Equivalents increased in 1 of the last eight quarters, with an average decline of 49.9%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2021, with growth of 644.6%; the weakest was Q1 2022, with a decline of 93.4%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $3.43 million (Q1 2026), $2.99 million (Q4 2025) and $3.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Bionano Genomics | 17.43 Mn | -47.81 Mn | 4.31 Mn | 3.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.73 Mn |
| Mar 31, 2026 | 3.43 Mn |
| Dec 31, 2025 | 2.99 Mn |
| Sep 30, 2025 | 3.10 Mn |
| Jun 30, 2025 | 3.56 Mn |
| Mar 31, 2025 | 3.63 Mn |
| Dec 31, 2024 | 9.17 Mn |
| Sep 30, 2024 | 8.79 Mn |
| Jun 30, 2024 | 10.43 Mn |
| Mar 31, 2024 | 15.76 Mn |
| Dec 31, 2023 | 17.95 Mn |
| Sep 30, 2023 | 34.57 Mn |
| Jun 30, 2023 | 14.86 Mn |
| Mar 31, 2023 | 4.10 Mn |
| Dec 31, 2022 | 5.09 Mn |
| Sep 30, 2022 | 28.17 Mn |
| Jun 30, 2022 | 27.16 Mn |
| Mar 31, 2022 | 24.05 Mn |
| Dec 31, 2021 | 24.57 Mn |
| Sep 30, 2021 | 140.74 Mn |
Bionano Genomics Cash & Equivalents 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=cash-and-equivalents&ticker=BNGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BNGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();