Bionano Genomics (BNGO) Receivables (2017 - 2026)
Bionano Genomics' Receivables was $4.37 million in Q2 2026, up 25.0% from $3.49 million a year earlier and up 5.6% from the prior quarter.
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Analysis
Bionano Genomics (BNGO) Receivables (2017 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Bionano Genomics came in at $5.4 million, up 6.9% from FY2024.
- Receivables shows a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- In earlier years, Receivables was $5.05 million in FY2024 (-45.8%), $9.32 million in FY2023 (+32.7%), $7.02 million in FY2022 (+42.3%) and $4.93 million in FY2021 (+77.8%).
- Quarterly Receivables has moved between $3 million (Q3 2021) and $9.32 million (Q4 2023) over five years.
- Compared with a year earlier, Receivables has increased for three straight quarters, with an average decline of 18.5% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q1 2022 (growth of 176.8%); the worst was Q1 2025 (a decline of 59.7%).
- Per Business Quant data, BNGO's Receivables in the three quarters before Q2 2026 was $4.13 million (Q1 2026), $5.4 million (Q4 2025) and $4.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Bionano Genomics | 14.43 Mn | -50.81 Mn | 4.31 Mn | 4.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.37 Mn |
| Mar 31, 2026 | 4.13 Mn |
| Dec 31, 2025 | 5.40 Mn |
| Sep 30, 2025 | 4.53 Mn |
| Jun 30, 2025 | 3.49 Mn |
| Mar 31, 2025 | 3.35 Mn |
| Dec 31, 2024 | 5.05 Mn |
| Sep 30, 2024 | 5.32 Mn |
| Jun 30, 2024 | 6.26 Mn |
| Mar 31, 2024 | 8.31 Mn |
| Dec 31, 2023 | 9.32 Mn |
| Sep 30, 2023 | 8.67 Mn |
| Jun 30, 2023 | 7.61 Mn |
| Mar 31, 2023 | 6.78 Mn |
| Dec 31, 2022 | 7.02 Mn |
| Sep 30, 2022 | 5.83 Mn |
| Jun 30, 2022 | 4.85 Mn |
| Mar 31, 2022 | 5.51 Mn |
| Dec 31, 2021 | 4.93 Mn |
| Sep 30, 2021 | 3.00 Mn |
API Access
Bionano Genomics Receivables 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=receivables&ticker=BNGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=BNGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();