Sanara MedTech (SMTI) Non Operating Interest Expenses (2010 - 2026)
Sanara MedTech (SMTI) reported Non Operating Interest Expenses of $1.8 million for Q1 2026, up 36.6% from $1.32 million a year earlier but down 1.8% from the prior quarter.
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Analysis
Sanara MedTech (SMTI) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Sanara MedTech's Non Operating Interest Expenses came in at $7.24 million, up 73.3% year-over-year; for FY2025, it came in at $6.76 million, up 116.1% from FY2024.
- Non Operating Interest Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 257.8% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $3.13 million in FY2024 (+557.5%), $475,783 in FY2023 (+67.1%), $284,746 in FY2022 and $711.00 in FY2021 (-93.8%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $6.00 in Q1 2023 and a high of $1.83 million in Q4 2025.
- Year over year, Non Operating Interest Expenses has now increased in each of the last seven quarters, with growth averaging 212.4% over the last seven quarters.
- Over the past five years, the year-over-year growth in Non Operating Interest Expenses ranged from 36.6% (Q1 2026) to 392.7% (Q1 2025).
- Per Business Quant data, the three quarters before Q1 2026 came in at $1.83 million (Q4 2025), $1.82 million (Q3 2025) and $1.79 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Sanara MedTech | 320.67 Mn | 320.67 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Mar 31, 2020 | 8,354.00 |
API Access
Sanara MedTech Non Operating 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=non-operating-interest-expenses&ticker=SMTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=SMTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();