Si-Bone (SIBN) Current Assets (2017 - 2026)
Si-Bone (SIBN) recorded Current Assets of $224.65 million in Q3 2026, up 6.6% from $210.78 million a year earlier and up 2.2% 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 Q3 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 seven consecutive quarters, with growth averaging 3.3% 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 $219.91 million (Q2 2026), $214.72 million (Q1 2026) and $216.12 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 25.62 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 23.50 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 14.79 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 8.43 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 24.39 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 14.18 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 8.16 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 7.25 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 12.65 Bn |
| 10 | Si-Bone | 1.13 Bn | 544.91 Mn | 44.17 Mn | 224.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 224.65 Mn |
| 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 |
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();