Si-Bone (SIBN) Receivables (2017 - 2026)
Si-Bone's Receivables came in at $31.18 million for Q2 2026, up 27.9% from $24.37 million a year earlier and up 0.7% from the prior quarter.
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Analysis
Si-Bone (SIBN) Receivables (2017 - 2026) Analysis & Trends
At the end of FY2025, Si-Bone's Receivables was $29.92 million, up 8.9% from FY2024.
- Receivables has increased in each of the last eight years, with a five-year compound annual growth rate of 17.1% (FY2020 to FY2025).
- Going back by year, Receivables was $27.46 million in FY2024 (+25.1%), $21.95 million in FY2023 (+6.2%), $20.67 million in FY2022 (+45.1%) and $14.25 million in FY2021 (+4.7%).
- The Q2 2026 figure represents the highest quarterly Receivables in data going back to Q4 2017.
- Year-over-year, Receivables has increased for four consecutive quarters, with growth averaging 16.0% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in Q1 2023 (growth of 78.2%), and the weakest in Q1 2022 (a decline of 3.1%).
- Business Quant data shows SIBN's Receivables at $30.96 million (Q1 2026), $29.92 million (Q4 2025) and $26.53 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 955.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 2.36 Bn |
| 10 | Si-Bone | 855.95 Mn | 271.76 Mn | 44.55 Mn | 31.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.18 Mn |
| Mar 31, 2026 | 30.96 Mn |
| Dec 31, 2025 | 29.92 Mn |
| Sep 30, 2025 | 26.53 Mn |
| Jun 30, 2025 | 24.37 Mn |
| Mar 31, 2025 | 26.71 Mn |
| Dec 31, 2024 | 27.46 Mn |
| Sep 30, 2024 | 24.91 Mn |
| Jun 30, 2024 | 24.80 Mn |
| Mar 31, 2024 | 22.11 Mn |
| Dec 31, 2023 | 21.95 Mn |
| Sep 30, 2023 | 19.99 Mn |
| Jun 30, 2023 | 20.42 Mn |
| Mar 31, 2023 | 22.60 Mn |
| Dec 31, 2022 | 20.67 Mn |
| Sep 30, 2022 | 16.45 Mn |
| Jun 30, 2022 | 15.12 Mn |
| Mar 31, 2022 | 12.68 Mn |
| Dec 31, 2021 | 14.25 Mn |
| Sep 30, 2021 | 12.62 Mn |
API Access
Si-Bone 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=receivables&ticker=SIBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "SIBN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();