Butterfly Network (BFLY) Inventory (2020 - 2026)
Butterfly Network's Inventory was $59.58 million in Q3 2026, down 4.3% from $62.23 million a year earlier but up 1.8% from the prior quarter.
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Analysis
Butterfly Network (BFLY) Inventory (2020 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Butterfly Network came in at $61.39 million, down 13.3% from FY2024.
- Inventory shows a five-year compound annual growth rate of 18.9% (FY2020 to FY2025).
- In earlier years, Inventory was $70.79 million in FY2024 (-3.1%), $73.02 million in FY2023 (+21.8%), $59.97 million in FY2022 (+65.5%) and $36.24 million in FY2021 (+40.4%).
- Quarterly Inventory has moved between $36.24 million (Q4 2021) and $94.02 million (Q3 2023) over five years.
- Compared with a year earlier, Inventory has declined for ten straight quarters, with an average decline of 9.9% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was Q3 2022 (growth of 142.1%); the worst was Q3 2024 (a decline of 22.1%).
- Per Business Quant data, BFLY's Inventory in the three quarters before Q3 2026 was $58.56 million (Q2 2026), $59.3 million (Q1 2026) and $61.39 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 5.64 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 7.34 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 3.13 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 2.13 Bn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 5.75 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 3.32 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 1.16 Bn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 3.32 Bn |
| 10 | Butterfly Network | 1.67 Bn | 1.13 Bn | 23.80 Mn | 59.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 59.58 Mn |
| Jun 30, 2026 | 58.56 Mn |
| Mar 31, 2026 | 59.30 Mn |
| Dec 31, 2025 | 61.39 Mn |
| Sep 30, 2025 | 62.23 Mn |
| Jun 30, 2025 | 68.91 Mn |
| Mar 31, 2025 | 69.31 Mn |
| Dec 31, 2024 | 70.79 Mn |
| Sep 30, 2024 | 73.27 Mn |
| Jun 30, 2024 | 74.18 Mn |
| Mar 31, 2024 | 74.49 Mn |
| Dec 31, 2023 | 73.02 Mn |
| Sep 30, 2023 | 94.02 Mn |
| Jun 30, 2023 | 86.83 Mn |
| Mar 31, 2023 | 69.41 Mn |
| Dec 31, 2022 | 59.97 Mn |
| Sep 30, 2022 | 57.66 Mn |
| Jun 30, 2022 | 65.59 Mn |
| Mar 31, 2022 | 48.35 Mn |
| Dec 31, 2021 | 36.24 Mn |
API Access
Butterfly Network 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=BFLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "BFLY", "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=BFLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();