Bionano Genomics (BNGO) Accumulated Expenses (2017 - 2026)
Bionano Genomics (BNGO) posted Accumulated Expenses of $3.46 million for Q2 2026, up 1.5% from $3.41 million a year earlier but down 13.5% from the prior quarter.
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Analysis
Bionano Genomics (BNGO) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Bionano Genomics' Accumulated Expenses came in at $5.46 million, down 3.2% from FY2024.
- Annual Accumulated Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In prior years, Bionano Genomics' Accumulated Expenses was $5.64 million in FY2024 (-30.3%), $8.09 million in FY2023 (-23.3%), $10.55 million in FY2022 (+22.4%) and $8.62 million in FY2021 (+54.0%).
- Quarterly Accumulated Expenses has run from a low of $3.41 million in Q2 2025 to a high of $11.74 million in Q3 2022 over five years.
- On a year-over-year basis, Accumulated Expenses increased in two of the last eight quarters, with an average decline of 25.3%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2021, with growth of 110.8%; the weakest was Q1 2025, with a decline of 64.3%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $4 million (Q1 2026), $5.46 million (Q4 2025) and $4.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn |
| 10 | Bionano Genomics | 18.49 Mn | -46.75 Mn | 4.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.46 Mn |
| Mar 31, 2026 | 4.00 Mn |
| Dec 31, 2025 | 5.46 Mn |
| Sep 30, 2025 | 4.71 Mn |
| Jun 30, 2025 | 3.41 Mn |
| Mar 31, 2025 | 3.94 Mn |
| Dec 31, 2024 | 5.64 Mn |
| Sep 30, 2024 | 5.88 Mn |
| Jun 30, 2024 | 5.53 Mn |
| Mar 31, 2024 | 11.03 Mn |
| Dec 31, 2023 | 8.09 Mn |
| Sep 30, 2023 | 11.55 Mn |
| Jun 30, 2023 | 8.32 Mn |
| Mar 31, 2023 | 9.25 Mn |
| Dec 31, 2022 | 10.55 Mn |
| Sep 30, 2022 | 11.74 Mn |
| Jun 30, 2022 | 7.76 Mn |
| Mar 31, 2022 | 8.94 Mn |
| Dec 31, 2021 | 8.62 Mn |
| Sep 30, 2021 | 9.42 Mn |
API Access
Bionano Genomics Accumulated 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=accumulated-expenses&ticker=BNGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=BNGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();