Si-Bone (SIBN) Property, Plant & Equipment (Net) (2017 - 2026)
Si-Bone (SIBN) reported Property, Plant & Equipment (Net) of $25.3 million for Q3 2026, up 15.4% from $21.93 million a year earlier and up 16.5% from the prior quarter.
Si-Bone (SIBN) Property, Plant & Equipment (Net) (2017 - 2026) Analysis & Trends
At the end of FY2025, Si-Bone posted Property, Plant & Equipment (Net) of $21.3 million, up 4.5% from FY2024.
- Property, Plant & Equipment (Net) has increased for eight consecutive years, with a five-year compound annual growth rate of 36.3% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $20.37 million in FY2024 (+27.3%), $16 million in FY2023 (+2.8%), $15.56 million in FY2022 (+73.1%) and $8.99 million in FY2021 (+98.6%).
- The Q3 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2017.
- Year over year, Property, Plant & Equipment (Net) gained in seven of the last eight quarters, with growth averaging 10.6%.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q4 2021 (growth of 98.6%); the low point was Q1 2026 (a decline of 2.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $21.72 million (Q2 2026), $20.46 million (Q1 2026) and $21.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 10.58 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 12.88 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 5.77 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 5.68 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 4.05 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 4.18 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 1.86 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 4.73 Bn |
| 10 | Si-Bone | 1.13 Bn | 544.91 Mn | 44.17 Mn | 25.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 25.30 Mn |
| Jun 30, 2026 | 21.72 Mn |
| Mar 31, 2026 | 20.46 Mn |
| Dec 31, 2025 | 21.30 Mn |
| Sep 30, 2025 | 21.93 Mn |
| Jun 30, 2025 | 21.70 Mn |
| Mar 31, 2025 | 21.07 Mn |
| Dec 31, 2024 | 20.37 Mn |
| Sep 30, 2024 | 20.75 Mn |
| Jun 30, 2024 | 19.11 Mn |
| Mar 31, 2024 | 17.35 Mn |
| Dec 31, 2023 | 16.00 Mn |
| Sep 30, 2023 | 16.49 Mn |
| Jun 30, 2023 | 17.58 Mn |
| Mar 31, 2023 | 16.63 Mn |
| Dec 31, 2022 | 15.56 Mn |
| Sep 30, 2022 | 14.45 Mn |
| Jun 30, 2022 | 12.81 Mn |
| Mar 31, 2022 | 10.28 Mn |
| Dec 31, 2021 | 8.99 Mn |
Si-Bone Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SIBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();