Bionano Genomics (BNGO) Return on Capital Employed [ROCE] (2018 - 2026)
Bionano Genomics (BNGO) reported Return on Capital Employed [ROCE] of -69.74% for Q2 2026, up 66.23 percentage points from -135.96% a year earlier but down 1.41 percentage points from the prior quarter.
Bionano Genomics (BNGO) Return on Capital Employed [ROCE] (2018 - 2026) Analysis & Trends
For FY2025, Bionano Genomics posted Return on Capital Employed [ROCE] of -63.89%, up 32.22 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of +42.07 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -96.11% in FY2024 (+37.65 pp), -133.75% in FY2023 (-90.77 pp), -42.98% in FY2022 (-3.83 pp) and -39.15% in FY2021 (+66.81 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of -232.77% in Q4 2024 and a high of -17.46% in Q3 2021.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last six quarters, with an average year-over-year change of +51.49 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q3 2021 (a gain of 345.91 percentage points); the low point was Q4 2023 (a drop of 172.27 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -68.32% (Q1 2026), -62.45% (Q4 2025) and -67.35% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 18.58% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 10.83% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 11.99% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.00% |
| 10 | Bionano Genomics | 17.43 Mn | -47.81 Mn | 4.31 Mn | -69.74% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -69.74% |
| Mar 31, 2026 | -68.32% |
| Dec 31, 2025 | -62.45% |
| Sep 30, 2025 | -67.35% |
| Jun 30, 2025 | -135.96% |
| Mar 31, 2025 | -159.04% |
| Dec 31, 2024 | -232.77% |
| Sep 30, 2024 | -155.14% |
| Jun 30, 2024 | -174.93% |
| Mar 31, 2024 | -163.30% |
| Dec 31, 2023 | -219.36% |
| Sep 30, 2023 | -122.19% |
| Jun 30, 2023 | -59.11% |
| Mar 31, 2023 | -53.34% |
| Dec 31, 2022 | -47.08% |
| Sep 30, 2022 | -42.53% |
| Jun 30, 2022 | -36.32% |
| Mar 31, 2022 | -27.87% |
| Dec 31, 2021 | -22.25% |
| Sep 30, 2021 | -17.46% |
Bionano Genomics Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=BNGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=BNGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();