Bionano Genomics (BNGO) Accounts Payables (2017 - 2026)
Bionano Genomics' Accounts Payables came in at $4.56 million for Q2 2026, down 26.9% from $6.24 million a year earlier and down 9.9% from the prior quarter.
Bionano Genomics (BNGO) Accounts Payables (2017 - 2026) Analysis & Trends
At the end of FY2025, Bionano Genomics' Accounts Payables was $5.59 million, down 19.7% from FY2024.
- Accounts Payables has declined in each of the last three years, though with a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- Going back by year, Accounts Payables was $6.96 million in FY2024 (-33.0%), $10.38 million in FY2023 (-17.2%), $12.53 million in FY2022 (+16.4%) and $10.77 million in FY2021 (+267.5%).
- The Q2 2026 figure represents the lowest quarterly Accounts Payables since Q2 2021.
- Year-over-year, Accounts Payables has declined for 11 consecutive quarters, with an average decline of 29.9% over the last eight quarters.
- The fastest year-over-year change in Accounts Payables over five years came in Q4 2021 (growth of 267.5%), and the weakest in Q3 2024 (a decline of 43.4%).
- Business Quant data shows BNGO's Accounts Payables at $5.06 million (Q1 2026), $5.59 million (Q4 2025) and $5.99 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 210.50 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 6.11 Bn |
| 10 | Bionano Genomics | 18.37 Mn | -46.87 Mn | 4.31 Mn | 4.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.56 Mn |
| Mar 31, 2026 | 5.06 Mn |
| Dec 31, 2025 | 5.59 Mn |
| Sep 30, 2025 | 5.99 Mn |
| Jun 30, 2025 | 6.24 Mn |
| Mar 31, 2025 | 6.56 Mn |
| Dec 31, 2024 | 6.96 Mn |
| Sep 30, 2024 | 8.70 Mn |
| Jun 30, 2024 | 8.73 Mn |
| Mar 31, 2024 | 9.84 Mn |
| Dec 31, 2023 | 10.38 Mn |
| Sep 30, 2023 | 15.37 Mn |
| Jun 30, 2023 | 11.91 Mn |
| Mar 31, 2023 | 15.78 Mn |
| Dec 31, 2022 | 12.53 Mn |
| Sep 30, 2022 | 9.41 Mn |
| Jun 30, 2022 | 7.70 Mn |
| Mar 31, 2022 | 6.59 Mn |
| Dec 31, 2021 | 10.77 Mn |
| Sep 30, 2021 | 7.88 Mn |
Bionano Genomics Accounts Payables 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=accounts-payables&ticker=BNGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=BNGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();