Si-Bone (SIBN) Accounts Payables (2017 - 2026)
Si-Bone (SIBN) posted Accounts Payables of $8.54 million for Q2 2026, up 13.9% from $7.5 million a year earlier and up 26.3% from the prior quarter.
Si-Bone (SIBN) Accounts Payables (2017 - 2026) Analysis & Trends
At the end of FY2025, Si-Bone's Accounts Payables came in at $4.63 million, down 28.6% from FY2024.
- Annual Accounts Payables shows a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- In prior years, Si-Bone's Accounts Payables was $6.49 million in FY2024 (+41.4%), $4.59 million in FY2023 (-26.9%), $6.28 million in FY2022 (+96.3%) and $3.2 million in FY2021 (-2.2%).
- The Q2 2026 figure stands as the highest quarterly Accounts Payables in data going back to Q4 2017.
- On a year-over-year basis, Accounts Payables increased in six of the last eight quarters, with growth averaging 11.3%.
- The strongest year-over-year quarter for Accounts Payables in the past five years was Q4 2022, with growth of 96.3%; the weakest was Q4 2025, with a decline of 28.6%.
- According to Business Quant data, Accounts Payables for the three prior quarters was $6.76 million (Q1 2026), $4.63 million (Q4 2025) and $7.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 210.50 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 6.11 Bn |
| 10 | Si-Bone | 840.31 Mn | 256.12 Mn | 44.55 Mn | 8.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.54 Mn |
| Mar 31, 2026 | 6.76 Mn |
| Dec 31, 2025 | 4.63 Mn |
| Sep 30, 2025 | 7.72 Mn |
| Jun 30, 2025 | 7.50 Mn |
| Mar 31, 2025 | 7.71 Mn |
| Dec 31, 2024 | 6.49 Mn |
| Sep 30, 2024 | 7.32 Mn |
| Jun 30, 2024 | 7.18 Mn |
| Mar 31, 2024 | 7.66 Mn |
| Dec 31, 2023 | 4.59 Mn |
| Sep 30, 2023 | 4.42 Mn |
| Jun 30, 2023 | 6.16 Mn |
| Mar 31, 2023 | 5.33 Mn |
| Dec 31, 2022 | 6.28 Mn |
| Sep 30, 2022 | 4.61 Mn |
| Jun 30, 2022 | 5.14 Mn |
| Mar 31, 2022 | 5.00 Mn |
| Dec 31, 2021 | 3.20 Mn |
| Sep 30, 2021 | 4.14 Mn |
Si-Bone Accounts Payables 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=accounts-payables&ticker=SIBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();