Butterfly Network (BFLY) Non-Current Deffered Revenue (2020 - 2026)
Butterfly Network's Non-Current Deffered Revenue came in at $10.19 million for Q2 2026, up 40.9% from $7.23 million a year earlier and up 5.8% from the prior quarter.
Butterfly Network (BFLY) Non-Current Deffered Revenue (2020 - 2026) Analysis & Trends
At the end of FY2025, Butterfly Network's Non-Current Deffered Revenue was $9.39 million, up 28.4% from FY2024.
- Non-Current Deffered Revenue carries a five-year compound annual growth rate of 27.5% (FY2020 to FY2025).
- Going back by year, Non-Current Deffered Revenue was $7.32 million in FY2024 (-1.1%), $7.39 million in FY2023 (+49.2%), $4.96 million in FY2022 (-9.5%) and $5.48 million in FY2021 (+96.3%).
- The Q2 2026 figure represents the highest quarterly Non-Current Deffered Revenue since Q3 2020.
- Year-over-year, Non-Current Deffered Revenue has increased for four consecutive quarters, with growth averaging 18.0% over the last eight quarters.
- The fastest year-over-year change in Non-Current Deffered Revenue over five years came in Q4 2021 (growth of 96.3%), and the weakest in Q3 2021 (a decline of 66.3%).
- Business Quant data shows BFLY's Non-Current Deffered Revenue at $9.63 million (Q1 2026), $9.39 million (Q4 2025) and $7.91 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Deffered Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn | - |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn | - |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn | - |
| 10 | Butterfly Network | 1.96 Bn | 1.40 Bn | 23.29 Mn | 10.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.19 Mn |
| Mar 31, 2026 | 9.63 Mn |
| Dec 31, 2025 | 9.39 Mn |
| Sep 30, 2025 | 7.91 Mn |
| Jun 30, 2025 | 7.23 Mn |
| Mar 31, 2025 | 7.60 Mn |
| Dec 31, 2024 | 7.32 Mn |
| Sep 30, 2024 | 7.04 Mn |
| Jun 30, 2024 | 7.36 Mn |
| Mar 31, 2024 | 7.22 Mn |
| Dec 31, 2023 | 7.39 Mn |
| Sep 30, 2023 | 5.27 Mn |
| Jun 30, 2023 | 6.03 Mn |
| Mar 31, 2023 | 4.34 Mn |
| Dec 31, 2022 | 4.96 Mn |
| Sep 30, 2022 | 5.59 Mn |
| Jun 30, 2022 | 6.95 Mn |
| Mar 31, 2022 | 6.27 Mn |
| Dec 31, 2021 | 5.48 Mn |
| Sep 30, 2021 | 4.88 Mn |
Butterfly Network Non-Current Deffered 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=non-current-deffered-revenue&ticker=BFLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deffered-revenue", "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=non-current-deffered-revenue&ticker=BFLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();