Si-Bone (SIBN) Depreciation and Depletion (2017 - 2026)
Si-Bone (SIBN) reported Depreciation and Depletion of $1.7 million for Q2 2026, up 21.4% from $1.4 million a year earlier and up 6.3% from the prior quarter.
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Analysis
Si-Bone (SIBN) Depreciation and Depletion (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Si-Bone's Depreciation and Depletion came in at $6.5 million, up 30.0% year-over-year; for FY2025, it came in at $5.8 million, up 31.8% from FY2024.
- Depreciation and Depletion has a five-year compound annual growth rate of 39.4% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $4.4 million in FY2024 (-18.5%), $5.4 million in FY2023 (+58.8%), $3.4 million in FY2022 (+61.9%) and $2.1 million in FY2021 (+90.9%).
- Year over year, Depreciation and Depletion has now increased in each of the last six quarters, with growth averaging 16.8% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q1 2022 (growth of 133.3%); the low point was Q3 2024 (a decline of 26.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.6 million (Q1 2026), $1.7 million (Q4 2025) and $1.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 122.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Si-Bone | 808.13 Mn | 223.93 Mn | 44.55 Mn | 1.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.70 Mn |
| Mar 31, 2026 | 1.60 Mn |
| Dec 31, 2025 | 1.70 Mn |
| Sep 30, 2025 | 1.50 Mn |
| Jun 30, 2025 | 1.40 Mn |
| Mar 31, 2025 | 1.30 Mn |
| Dec 31, 2024 | 1.20 Mn |
| Sep 30, 2024 | 1.10 Mn |
| Jun 30, 2024 | 1.00 Mn |
| Mar 31, 2024 | 1.10 Mn |
| Dec 31, 2023 | 1.50 Mn |
| Sep 30, 2023 | 1.50 Mn |
| Jun 30, 2023 | 1.20 Mn |
| Mar 31, 2023 | 1.10 Mn |
| Dec 31, 2022 | 1.00 Mn |
| Sep 30, 2022 | 900,000.00 |
| Jun 30, 2022 | 800,000.00 |
| Mar 31, 2022 | 700,000.00 |
| Dec 31, 2021 | 700,000.00 |
| Sep 30, 2021 | 600,000.00 |
API Access
Si-Bone Depreciation and Depletion 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=depreciation-and-depletion&ticker=SIBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();