Si-Bone (SIBN) Change in Other Operating Assets (2017 - 2026)
Si-Bone's Change in Other Operating Assets came in at $155,000 for Q3 2026, compared with -$512,000 a year earlier and down 82.0% from the prior quarter.
Si-Bone (SIBN) Change in Other Operating Assets (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Si-Bone reported Change in Other Operating Assets of $1.69 million, up 460.5% year-over-year; for FY2025, it was $1.03 million.
- Change in Other Operating Assets carries a five-year compound annual growth rate of 49.9% (FY2020 to FY2025).
- Going back by year, Change in Other Operating Assets was $2,000 in FY2024 (-99.7%), $762,000 in FY2023, -$810,000 in FY2022 and $594,000 in FY2021 (+336.8%).
- The five-year range for quarterly Change in Other Operating Assets is -$839,000 (Q2 2022) to $1.45 million (Q4 2025).
- Year-over-year, Change in Other Operating Assets increased in three of the last four quarters, with growth averaging 119.1%.
- The fastest year-over-year change in Change in Other Operating Assets over five years came in Q2 2025 (growth of 369.6%), and the weakest in Q4 2022 (a decline of 50.9%).
- Business Quant data shows SIBN's Change in Other Operating Assets at $860,000 (Q2 2026), -$777,000 (Q1 2026) and $1.45 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Assets Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | - |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 44.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | -11.30 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | - |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 32.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 22.80 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | -260.00 Mn |
| 10 | Si-Bone | 1.13 Bn | 544.91 Mn | 44.17 Mn | 155,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 155,000.00 |
| Jun 30, 2026 | 860,000.00 |
| Mar 31, 2026 | -777,000.00 |
| Dec 31, 2025 | 1.45 Mn |
| Sep 30, 2025 | -512,000.00 |
| Jun 30, 2025 | 587,000.00 |
| Mar 31, 2025 | -494,000.00 |
| Dec 31, 2024 | 720,000.00 |
| Sep 30, 2024 | -319,000.00 |
| Jun 30, 2024 | 125,000.00 |
| Mar 31, 2024 | -524,000.00 |
| Dec 31, 2023 | 1.22 Mn |
| Sep 30, 2023 | -198,000.00 |
| Jun 30, 2023 | 49,000.00 |
| Mar 31, 2023 | -311,000.00 |
| Dec 31, 2022 | 591,000.00 |
| Sep 30, 2022 | -550,000.00 |
| Jun 30, 2022 | -839,000.00 |
| Mar 31, 2022 | -12,000.00 |
| Dec 31, 2021 | 1.20 Mn |
Si-Bone Change in Other Operating 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=change-in-other-operating-assets&ticker=SIBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-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=change-in-other-operating-assets&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();