Bionano Genomics (BNGO) Revenue (2017 - 2026)
Bionano Genomics' (BNGO) quarterly Revenue came in at $8.2 million in Q2 2026, up 21.36% year-over-year from $6.7 million in Q2 2025, and up 22.19% quarter-over-quarter from $6.7 million in Q1 2026.
Bionano Genomics (BNGO) Revenue (2017 - 2026) Analysis & Trends
Bionano Genomics has disclosed Revenue across 10 years of filings, most recently posting $8.2 million for Q2 2026.
- In Q2 2026, Revenue rose 21.36% year-over-year to $8.2 million; the TTM figure through Jun 2026 stood at $30.2 million (up 10.03% YoY), while the FY2025 annual figure was $28.5 million, down 7.37% from the prior year.
- Revenue came in at $8.2 million for Q2 2026 at Bionano Genomics, up from $6.7 million in the prior quarter.
- In the past five years, Revenue ranged from a high of $10.7 million in Q4 2023 to a low of $5.7 million in Q1 2022.
- Average Revenue over 5 years is $7.7 million, with a median of $7.6 million recorded in 2023.
- Year-over-year, Revenue soared 79.8% in 2022 and slumped 34.83% in 2024.
- Over 5 years, Revenue stood at $8.2 million in 2022, then jumped by 30.51% to $10.7 million in 2023, then decreased by 23.86% to $8.2 million in 2024, then retreated by 2.6% to $8.0 million in 2025, then gained by 2.77% to $8.2 million in 2026.
- Per Business Quant data, the three most recent Revenue figures were $8.2 million in Q2 2026, $6.7 million in Q1 2026, and $8.0 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 240.72 Bn | 236.78 Bn | 8.34 Bn | 11.99 Bn |
| 2 | Danaher | 148.85 Bn | 144.52 Bn | 3.61 Bn | 6.27 Bn |
| 3 | Agilent Technologies | 44.12 Bn | 42.36 Bn | 1.04 Bn | 1.88 Bn |
| 4 | Illumina | 36.18 Bn | 35.01 Bn | 770.00 Mn | 1.16 Bn |
| 5 | Revvity | 16.01 Bn | 14.98 Bn | 416.87 Mn | 729.69 Mn |
| 6 | Bio-Techne | 11.30 Bn | 11.03 Bn | 211.39 Mn | 321.19 Mn |
| 7 | Twist Bioscience | 10.47 Bn | 10.30 Bn | 62.45 Mn | 118.38 Mn |
| 8 | Bio-Rad Laboratories | 10.05 Bn | 8.43 Bn | 345.80 Mn | 651.00 Mn |
| 9 | Repligen | 9.98 Bn | 8.97 Bn | 110.04 Mn | 204.13 Mn |
| 10 | Bionano Genomics | 20.37 Mn | 10.44 Mn | 4.31 Mn | 8.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.17 Mn |
| Mar 31, 2026 | 6.69 Mn |
| Dec 31, 2025 | 7.95 Mn |
| Sep 30, 2025 | 7.37 Mn |
| Jun 30, 2025 | 6.73 Mn |
| Mar 31, 2025 | 6.46 Mn |
| Dec 31, 2024 | 8.16 Mn |
| Sep 30, 2024 | 6.07 Mn |
| Jun 30, 2024 | 7.77 Mn |
| Mar 31, 2024 | 8.77 Mn |
| Dec 31, 2023 | 10.72 Mn |
| Sep 30, 2023 | 9.32 Mn |
| Jun 30, 2023 | 8.66 Mn |
| Mar 31, 2023 | 7.42 Mn |
| Dec 31, 2022 | 8.22 Mn |
| Sep 30, 2022 | 7.22 Mn |
| Jun 30, 2022 | 6.67 Mn |
| Mar 31, 2022 | 5.70 Mn |
| Dec 31, 2021 | 6.30 Mn |
| Sep 30, 2021 | 4.66 Mn |
Bionano Genomics Revenue 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=revenue&ticker=BNGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=BNGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();