Bionano Genomics (BNGO) Inventory (2017 - 2026)
Bionano Genomics' Inventory came in at $5.2 million for Q2 2026, down 39.7% from $8.63 million a year earlier and down 2.0% from the prior quarter.
Analysis
Bionano Genomics (BNGO) Inventory (2017 - 2026) Analysis & Trends
At the end of FY2025, Bionano Genomics' Inventory was $5.45 million, down 51.0% from FY2024.
- Inventory has declined in each of the last three years, though with a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- Going back by year, Inventory was $11.12 million in FY2024 (-51.4%), $22.89 million in FY2023 (-23.1%), $29.76 million in FY2022 (+140.3%) and $12.39 million in FY2021 (+273.7%).
- The Q2 2026 figure represents the lowest quarterly Inventory since Q2 2021.
- Year-over-year, Inventory has declined for 11 consecutive quarters, with an average decline of 48.8% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in Q1 2022 (growth of 435.8%), and the weakest in Q2 2025 (a decline of 55.7%).
- Business Quant data shows BNGO's Inventory at $5.31 million (Q1 2026), $5.45 million (Q4 2025) and $7.05 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 3.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.13 Bn |
| 10 | Bionano Genomics | 19.79 Mn | -45.45 Mn | 4.31 Mn | 5.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.20 Mn |
| Mar 31, 2026 | 5.31 Mn |
| Dec 31, 2025 | 5.45 Mn |
| Sep 30, 2025 | 7.05 Mn |
| Jun 30, 2025 | 8.63 Mn |
| Mar 31, 2025 | 9.56 Mn |
| Dec 31, 2024 | 11.12 Mn |
| Sep 30, 2024 | 14.32 Mn |
| Jun 30, 2024 | 19.48 Mn |
| Mar 31, 2024 | 19.59 Mn |
| Dec 31, 2023 | 22.89 Mn |
| Sep 30, 2023 | 26.43 Mn |
| Jun 30, 2023 | 32.45 Mn |
| Mar 31, 2023 | 33.11 Mn |
| Dec 31, 2022 | 29.76 Mn |
| Sep 30, 2022 | 25.05 Mn |
| Jun 30, 2022 | 20.59 Mn |
| Mar 31, 2022 | 16.27 Mn |
| Dec 31, 2021 | 12.39 Mn |
| Sep 30, 2021 | 9.02 Mn |
API Access
Bionano Genomics Inventory 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=inventory&ticker=BNGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=BNGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();