Si-Bone (SIBN) Cost of Revenue (2017 - 2026)
Si-Bone (SIBN) recorded Cost of Revenue of $11.54 million in Q3 2026, up 17.6% from $9.81 million a year earlier and up 0.7% from the prior quarter.
Si-Bone (SIBN) Cost of Revenue (2017 - 2026) Analysis & Trends
On a TTM basis, Si-Bone's Cost of Revenue came in at $45.46 million as of Sep 30, 2026, up 15.2% year-over-year; for FY2025, it came in at $41.05 million, up 17.1% from FY2024.
- Annual Cost of Revenue has increased for seven straight years, with a five-year compound annual growth rate of 35.8% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $35.06 million in FY2024 (+19.0%), $29.47 million in FY2023 (+87.6%), $15.71 million in FY2022 (+50.6%) and $10.43 million in FY2021 (+17.1%).
- Quarterly Cost of Revenue has ranged from $2.98 million in Q1 2022 to $11.82 million in Q4 2025 over the past five years.
- On a year-over-year basis, Cost of Revenue has increased for 20 consecutive quarters, with growth averaging 14.3% over the last eight quarters.
- The year-over-year growth in Cost of Revenue has ranged between 0.4% (Q4 2024) and 100.1% (Q4 2023) over the last five years.
- Per Business Quant, the preceding three quarters came in at $11.46 million (Q2 2026), $10.64 million (Q1 2026) and $11.82 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 7.01 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 5.63 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 2.72 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 964.40 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 2.27 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 1.71 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 369.20 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 5.93 Bn |
| 10 | Si-Bone | 1.13 Bn | 544.91 Mn | 44.17 Mn | 11.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.54 Mn |
| Jun 30, 2026 | 11.46 Mn |
| Mar 31, 2026 | 10.64 Mn |
| Dec 31, 2025 | 11.82 Mn |
| Sep 30, 2025 | 9.81 Mn |
| Jun 30, 2025 | 9.82 Mn |
| Mar 31, 2025 | 9.60 Mn |
| Dec 31, 2024 | 10.23 Mn |
| Sep 30, 2024 | 8.44 Mn |
| Jun 30, 2024 | 8.39 Mn |
| Mar 31, 2024 | 8.00 Mn |
| Dec 31, 2023 | 10.18 Mn |
| Sep 30, 2023 | 7.04 Mn |
| Jun 30, 2023 | 6.32 Mn |
| Mar 31, 2023 | 5.92 Mn |
| Dec 31, 2022 | 5.09 Mn |
| Sep 30, 2022 | 4.17 Mn |
| Jun 30, 2022 | 3.47 Mn |
| Mar 31, 2022 | 2.98 Mn |
| Dec 31, 2021 | 3.38 Mn |
Si-Bone Cost of Revenue 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=cost-of-revenue&ticker=SIBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();