Si-Bone (SIBN) Depreciation & Amortization (CF) (2017 - 2026)
Si-Bone (SIBN) recorded Depreciation & Amortization (CF) of $1.68 million in Q2 2026, up 22.7% from $1.37 million a year earlier and up 3.8% from the prior quarter.
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Analysis
Si-Bone (SIBN) Depreciation & Amortization (CF) (2017 - 2026) Analysis & Trends
On a TTM basis, Si-Bone's Depreciation & Amortization (CF) came in at $6.42 million as of Jun 30, 2026, up 29.9% year-over-year; for FY2025, it was $5.77 million, up 31.8% from FY2024.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of 38.6% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $4.38 million in FY2024 (-19.3%), $5.43 million in FY2023 (+57.2%), $3.45 million in FY2022 (+65.5%) and $2.09 million in FY2021 (+84.6%).
- The Q2 2026 figure is the highest quarterly Depreciation & Amortization (CF) in data going back to Q3 2017.
- On a year-over-year basis, Depreciation & Amortization (CF) has increased for six consecutive quarters, with growth averaging 15.6% over the last eight quarters.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 110.3% in Q3 2021, against a decline of 29.2% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.62 million (Q1 2026), $1.64 million (Q4 2025) and $1.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 192.30 Mn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 355.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 42.70 Mn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 564.00 Mn |
| 10 | Si-Bone | 822.88 Mn | 238.68 Mn | 44.55 Mn | 1.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.68 Mn |
| Mar 31, 2026 | 1.62 Mn |
| Dec 31, 2025 | 1.64 Mn |
| Sep 30, 2025 | 1.49 Mn |
| Jun 30, 2025 | 1.37 Mn |
| Mar 31, 2025 | 1.28 Mn |
| Dec 31, 2024 | 1.21 Mn |
| Sep 30, 2024 | 1.09 Mn |
| Jun 30, 2024 | 992,000.00 |
| Mar 31, 2024 | 1.09 Mn |
| Dec 31, 2023 | 1.57 Mn |
| Sep 30, 2023 | 1.53 Mn |
| Jun 30, 2023 | 1.24 Mn |
| Mar 31, 2023 | 1.09 Mn |
| Dec 31, 2022 | 1.00 Mn |
| Sep 30, 2022 | 945,000.00 |
| Jun 30, 2022 | 792,000.00 |
| Mar 31, 2022 | 713,000.00 |
| Dec 31, 2021 | 650,000.00 |
| Sep 30, 2021 | 591,000.00 |
API Access
Si-Bone Depreciation & Amortization (CF) 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-amortization-cf&ticker=SIBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-amortization-cf&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();