Sanara MedTech (SMTI) Interest Expenses (2009 - 2026)
Sanara MedTech's Interest Expenses came in at $1.8 million for Q1 2026, up 36.6% from $1.32 million a year earlier but down 1.8% from the prior quarter.
Sanara MedTech (SMTI) Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Sanara MedTech reported Interest Expenses of $7.24 million, up 73.3% year-over-year; for FY2025, it was $6.76 million, up 116.1% from FY2024.
- Interest Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 257.8% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $3.13 million in FY2024 (+557.5%), $475,783 in FY2023 (+67.1%), $284,746 in FY2022 and $711.00 in FY2021 (-93.8%).
- The five-year range for quarterly Interest Expenses is $6.00 (Q1 2023) to $1.83 million (Q4 2025).
- Year-over-year, Interest Expenses has increased for seven consecutive quarters, with growth averaging 212.4% over the last seven quarters.
- Across the past five years, year-over-year growth in Interest Expenses ran from 36.6% in Q1 2026 to 392.7% in Q1 2025.
- Business Quant data shows SMTI's Interest Expenses at $1.83 million (Q4 2025), $1.82 million (Q3 2025) and $1.79 million (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | -417.00 Mn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 350.00 Mn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 135.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 143.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 100.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | - |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | - |
| 10 | Sanara MedTech | 291.06 Mn | 230.52 Mn | 26,155.41 Bn | -1,810.31 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,810.31 Bn |
| Mar 31, 2026 | 1.80 Mn |
| Dec 31, 2025 | 1.83 Mn |
| Sep 30, 2025 | 1.82 Mn |
| Jun 30, 2025 | 1.79 Mn |
| Mar 31, 2025 | 1.32 Mn |
| Dec 31, 2024 | 1.29 Mn |
| Sep 30, 2024 | 927,577.00 |
| Jun 30, 2024 | 644,346.00 |
| Mar 31, 2024 | 267,336.00 |
| Dec 31, 2023 | 287,483.00 |
| Sep 30, 2023 | 188,294.00 |
| Mar 31, 2023 | 6.00 |
| Dec 31, 2022 | 111,630.00 |
| Sep 30, 2022 | 109,689.00 |
| Jun 30, 2022 | 63,427.00 |
| Mar 31, 2021 | 711.00 |
| Dec 31, 2020 | 615.00 |
| Sep 30, 2020 | 1,458.00 |
| Jun 30, 2020 | 1,101.00 |
Sanara MedTech Interest Expenses 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=interest-expenses&ticker=SMTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "SMTI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=SMTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();