Si-Bone (SIBN) Current Assets (2017 - 2026)
Si-Bone (SIBN) recorded Current Assets of $219.91 million in Q2 2026, up 6.0% from $207.45 million a year earlier and up 2.4% from the prior quarter.
Analysis
Si-Bone (SIBN) Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Si-Bone reported Current Assets of $216.12 million, up 4.0% from FY2024.
- Annual Current Assets has a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- Across earlier years, Current Assets came in at $207.78 million in FY2024 (-1.7%), $211.39 million in FY2023 (+53.6%), $137.61 million in FY2022 (-21.8%) and $175.87 million in FY2021 (-19.4%).
- The Q2 2026 figure is the highest quarterly Current Assets in data going back to Q4 2017.
- On a year-over-year basis, Current Assets has increased for six consecutive quarters, with growth averaging 2.0% over the last eight quarters.
- Peak year-over-year performance for Current Assets in the last five years was growth of 58.6% in Q1 2024, against a decline of 25.5% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $214.72 million (Q1 2026), $216.12 million (Q4 2025) and $210.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 23.37 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 24.52 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 13.38 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 9.54 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 24.39 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 14.42 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 7.97 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 6.82 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 8.14 Bn |
| 10 | Si-Bone | 855.95 Mn | 271.76 Mn | 44.55 Mn | 219.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 219.91 Mn |
| Mar 31, 2026 | 214.72 Mn |
| Dec 31, 2025 | 216.12 Mn |
| Sep 30, 2025 | 210.78 Mn |
| Jun 30, 2025 | 207.45 Mn |
| Mar 31, 2025 | 204.20 Mn |
| Dec 31, 2024 | 207.78 Mn |
| Sep 30, 2024 | 203.70 Mn |
| Jun 30, 2024 | 202.33 Mn |
| Mar 31, 2024 | 203.63 Mn |
| Dec 31, 2023 | 211.39 Mn |
| Sep 30, 2023 | 211.02 Mn |
| Jun 30, 2023 | 212.53 Mn |
| Mar 31, 2023 | 128.40 Mn |
| Dec 31, 2022 | 137.61 Mn |
| Sep 30, 2022 | 139.18 Mn |
| Jun 30, 2022 | 148.34 Mn |
| Mar 31, 2022 | 161.26 Mn |
| Dec 31, 2021 | 175.87 Mn |
| Sep 30, 2021 | 185.65 Mn |
API Access
Si-Bone Current 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=current-assets&ticker=SIBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-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=current-assets&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();