Si-Bone (SIBN) Prepaid Assets (2017 - 2026)
Si-Bone (SIBN) posted Prepaid Assets of $4.4 million for Q2 2026, up 33.8% from $3.29 million a year earlier and up 24.3% from the prior quarter.
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Analysis
Si-Bone (SIBN) Prepaid Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Si-Bone's Prepaid Assets came in at $4.48 million, up 39.8% from FY2024.
- Annual Prepaid Assets has increased for three consecutive years, with a five-year compound annual growth rate of 11.8% (FY2020 to FY2025).
- In prior years, Si-Bone's Prepaid Assets was $3.2 million in FY2024 (+1.0%), $3.17 million in FY2023 (+34.2%), $2.37 million in FY2022 (-24.8%) and $3.14 million in FY2021 (+22.5%).
- Quarterly Prepaid Assets has run from a low of $1.79 million in Q3 2022 to a high of $4.48 million in Q4 2025 over five years.
- On a year-over-year basis, Prepaid Assets has increased in each of the last 12 quarters, with growth averaging 20.7% over the last eight quarters.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was Q3 2021, with growth of 90.7%; the weakest was Q1 2023, with a decline of 34.9%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $3.54 million (Q1 2026), $4.48 million (Q4 2025) and $2.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.99 Bn | 234.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 176.70 Bn | 147.13 Bn | 7.27 Bn |
| 3 | Danaher | 165.14 Bn | 148.95 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 156.20 Bn | 135.62 Bn | 1.96 Bn |
| 5 | Medtronic | 123.01 Bn | 88.27 Bn | 6.34 Bn |
| 6 | Stryker | 118.25 Bn | 104.37 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.00 Bn | 61.77 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.59 Bn | 51.74 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.61 Bn | 35.62 Bn | 1.35 Bn |
| 10 | Si-Bone | 964.71 Mn | 380.52 Mn | 44.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.40 Mn |
| Mar 31, 2026 | 3.54 Mn |
| Dec 31, 2025 | 4.48 Mn |
| Sep 30, 2025 | 2.78 Mn |
| Jun 30, 2025 | 3.29 Mn |
| Mar 31, 2025 | 2.70 Mn |
| Dec 31, 2024 | 3.20 Mn |
| Sep 30, 2024 | 2.45 Mn |
| Jun 30, 2024 | 2.78 Mn |
| Mar 31, 2024 | 2.65 Mn |
| Dec 31, 2023 | 3.17 Mn |
| Sep 30, 2023 | 1.94 Mn |
| Jun 30, 2023 | 2.14 Mn |
| Mar 31, 2023 | 2.05 Mn |
| Dec 31, 2022 | 2.37 Mn |
| Sep 30, 2022 | 1.79 Mn |
| Jun 30, 2022 | 2.33 Mn |
| Mar 31, 2022 | 3.14 Mn |
| Dec 31, 2021 | 3.14 Mn |
| Sep 30, 2021 | 1.93 Mn |
API Access
Si-Bone Prepaid Assets 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=prepaid-assets&ticker=SIBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();