Butterfly Network (BFLY) Change in Receivables (2020 - 2026)
Butterfly Network's Change in Receivables came in at $10.05 million for Q2 2026, up 110.8% from $4.77 million a year earlier.
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Analysis
Butterfly Network (BFLY) Change in Receivables (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Butterfly Network reported Change in Receivables of $11.48 million, up 24.1% year-over-year; for FY2025, it came in at $6.75 million, down 20.6% from FY2024.
- Change in Receivables carries a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- Going back by year, Change in Receivables was $8.5 million in FY2024, $162,000 in FY2023 (-94.7%), $3.06 million in FY2022 (-50.0%) and $6.13 million in FY2021 (+40.0%).
- The Q2 2026 figure represents the highest quarterly Change in Receivables in data going back to Q1 2020.
- Year-over-year, Change in Receivables increased in three of the last five quarters, with growth averaging 151.0%.
- The fastest year-over-year change in Change in Receivables over five years came in Q4 2025 (growth of 706.1%), and the weakest in Q3 2025 (a decline of 98.7%).
- Business Quant data shows BFLY's Change in Receivables at -$1.41 million (Q1 2026), $2.78 million (Q4 2025) and $63,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (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 | 386.00 Mn |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn | -71.00 Mn |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn | 74.90 Mn |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn | -224.00 Mn |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn | 177.00 Mn |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn | 46.00 Mn |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn | 10.20 Mn |
| 10 | Butterfly Network | 1.96 Bn | 1.40 Bn | 23.29 Mn | 10.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.05 Mn |
| Mar 31, 2026 | -1.41 Mn |
| Dec 31, 2025 | 2.78 Mn |
| Sep 30, 2025 | 63,000.00 |
| Jun 30, 2025 | 4.77 Mn |
| Mar 31, 2025 | -857,000.00 |
| Dec 31, 2024 | 345,000.00 |
| Sep 30, 2024 | 4.99 Mn |
| Jun 30, 2024 | 2.41 Mn |
| Mar 31, 2024 | 751,000.00 |
| Dec 31, 2023 | 873,000.00 |
| Sep 30, 2023 | -4.00 Mn |
| Jun 30, 2023 | 4.37 Mn |
| Mar 31, 2023 | -1.08 Mn |
| Dec 31, 2022 | 3.02 Mn |
| Sep 30, 2022 | -870,000.00 |
| Jun 30, 2022 | -270,000.00 |
| Mar 31, 2022 | 1.18 Mn |
| Dec 31, 2021 | 2.45 Mn |
| Sep 30, 2021 | 1.70 Mn |
API Access
Butterfly Network Change in 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=change-in-receivables&ticker=BFLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=BFLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();