Bionano Genomics (BNGO) Return on Sales [ROS] (2017 - 2026)
Bionano Genomics (BNGO) reported Return on Sales [ROS] of -88.34% for Q2 2026, up 27.51 percentage points from -115.85% a year earlier and up 29.76 percentage points from the prior quarter.
Bionano Genomics (BNGO) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bionano Genomics' Return on Sales [ROS] came in at -106.67%, up 156.24 percentage points year-over-year; for FY2025, it came in at -116.95%, up 220.92 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +336.44 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -337.87% in FY2024 (+258.11 pp), -595.98% in FY2023 (-122.28 pp), -473.70% in FY2022 (-44.91 pp) and -428.79% in FY2021 (+24.59 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] in data going back to Q3 2017.
- Year over year, Return on Sales [ROS] has now increased in each of the last 11 quarters, with an average year-over-year change of +199.00 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2025 (a gain of 606.99 percentage points); the low point was Q3 2023 (a drop of 769.77 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -118.09% (Q1 2026), -107.36% (Q4 2025) and -115.90% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 21.65% |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 13.31% |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 29.48% |
| 10 | Bionano Genomics | 13.31 Mn | -51.93 Mn | 4.31 Mn | -88.34% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -88.34% |
| Mar 31, 2026 | -118.09% |
| Dec 31, 2025 | -107.36% |
| Sep 30, 2025 | -115.90% |
| Jun 30, 2025 | -115.85% |
| Mar 31, 2025 | -131.10% |
| Dec 31, 2024 | -146.28% |
| Sep 30, 2024 | -722.89% |
| Jun 30, 2024 | -218.99% |
| Mar 31, 2024 | -354.92% |
| Dec 31, 2023 | -232.75% |
| Sep 30, 2023 | -1,214.98% |
| Jun 30, 2023 | -452.99% |
| Mar 31, 2023 | -510.36% |
| Dec 31, 2022 | -456.81% |
| Sep 30, 2022 | -445.22% |
| Jun 30, 2022 | -480.94% |
| Mar 31, 2022 | -525.68% |
| Dec 31, 2021 | -456.73% |
| Sep 30, 2021 | -444.21% |
Bionano Genomics Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=BNGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=BNGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();