Bionano Genomics (BNGO) Net Margin (2017 - 2026)
Bionano Genomics (BNGO) recorded Net Margin of -90.85% in Q2 2026, up 11.00 percentage points from -101.84% a year earlier and up 33.32 percentage points from the prior quarter.
Bionano Genomics (BNGO) Net Margin (2017 - 2026) Analysis & Trends
On a TTM basis, Bionano Genomics' Net Margin came in at -106.58% as of Jun 30, 2026, up 164.44 percentage points year-over-year; for FY2025, it came in at -92.59%, up 271.39 percentage points from FY2024.
- Annual Net Margin has a five-year change of +390.84 percentage points (FY2020 to FY2025).
- Across earlier years, Net Margin came in at -363.98% in FY2024 (+279.76 pp), -643.74% in FY2023 (-166.81 pp), -476.93% in FY2022 (-74.09 pp) and -402.84% in FY2021 (+80.59 pp).
- The Q2 2026 figure is the highest quarterly Net Margin since Q1 2025.
- On a year-over-year basis, Net Margin rose in seven of the last eight quarters, with an average year-over-year change of +219.29 percentage points.
- Peak year-over-year performance for Net Margin in the last five years was a gain of 613.15 percentage points in Q3 2025, against a drop of 767.54 percentage points in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -124.17% (Q1 2026), -99.77% (Q4 2025) and -115.42% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 14.47% |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 7.37% |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 13.89% |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 28.29% |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 15.07% |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 19.37% |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 16.67% |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 7.57% |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 13.89% |
| 10 | Bionano Genomics | 19.79 Mn | -45.45 Mn | 4.31 Mn | -90.85% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -90.85% |
| Mar 31, 2026 | -124.17% |
| Dec 31, 2025 | -99.77% |
| Sep 30, 2025 | -115.42% |
| Jun 30, 2025 | -101.84% |
| Mar 31, 2025 | -48.04% |
| Dec 31, 2024 | -246.54% |
| Sep 30, 2024 | -728.57% |
| Jun 30, 2024 | -208.78% |
| Mar 31, 2024 | -358.33% |
| Dec 31, 2023 | -409.39% |
| Sep 30, 2023 | -1,208.05% |
| Jun 30, 2023 | -449.23% |
| Mar 31, 2023 | -500.66% |
| Dec 31, 2022 | -470.81% |
| Sep 30, 2022 | -440.51% |
| Jun 30, 2022 | -482.13% |
| Mar 31, 2022 | -525.84% |
| Dec 31, 2021 | -364.15% |
| Sep 30, 2021 | -445.82% |
Bionano Genomics Net Margin 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=net-margin&ticker=BNGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=BNGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();