Si-Bone (SIBN) Cash & Equivalents (2017 - 2026)
Si-Bone's Cash & Equivalents was $33.13 million in Q2 2026, down 3.0% from $34.15 million a year earlier and down 1.2% from the prior quarter.
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Analysis
Si-Bone (SIBN) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Si-Bone came in at $42.24 million, up 20.9% from FY2024.
- Cash & Equivalents has now increased for three consecutive years, though with a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $34.95 million in FY2024 (+5.0%), $33.27 million in FY2023 (+60.6%), $20.72 million in FY2022 (-67.3%) and $63.42 million in FY2021 (+18.4%).
- Quarterly Cash & Equivalents has moved between $20.72 million (Q4 2022) and $110.82 million (Q2 2023) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in four of the last eight quarters, with growth averaging 1.3%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q2 2023 (growth of 355.7%); the worst was Q2 2024 (a decline of 76.9%).
- Per Business Quant data, SIBN's Cash & Equivalents in the three quarters before Q2 2026 was $33.54 million (Q1 2026), $42.24 million (Q4 2025) and $26.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Si-Bone | 808.13 Mn | 223.93 Mn | 44.55 Mn | 33.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.13 Mn |
| Mar 31, 2026 | 33.54 Mn |
| Dec 31, 2025 | 42.24 Mn |
| Sep 30, 2025 | 26.49 Mn |
| Jun 30, 2025 | 34.15 Mn |
| Mar 31, 2025 | 41.19 Mn |
| Dec 31, 2024 | 34.95 Mn |
| Sep 30, 2024 | 30.23 Mn |
| Jun 30, 2024 | 25.58 Mn |
| Mar 31, 2024 | 32.04 Mn |
| Dec 31, 2023 | 33.27 Mn |
| Sep 30, 2023 | 53.49 Mn |
| Jun 30, 2023 | 110.82 Mn |
| Mar 31, 2023 | 22.97 Mn |
| Dec 31, 2022 | 20.72 Mn |
| Sep 30, 2022 | 26.30 Mn |
| Jun 30, 2022 | 24.32 Mn |
| Mar 31, 2022 | 27.33 Mn |
| Dec 31, 2021 | 63.42 Mn |
| Sep 30, 2021 | 59.86 Mn |
API Access
Si-Bone Cash & Equivalents 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=cash-and-equivalents&ticker=SIBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();