Sanara MedTech (SMTI) Total Non-Current Liabilities (2010 - 2026)
Sanara MedTech (SMTI) recorded Total Non-Current Liabilities of $48.56 million in Q1 2026, up 4.6% from $46.43 million a year earlier and up 0.3% from the prior quarter.
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Analysis
Sanara MedTech (SMTI) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Sanara MedTech reported Total Non-Current Liabilities of $48.39 million, up 42.8% from FY2024.
- Annual Total Non-Current Liabilities has increased for three straight years, with a five-year compound annual growth rate of 155.3% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $33.89 million in FY2024 (+118.4%), $15.52 million in FY2023 (+138.4%), $6.51 million in FY2022 and $222,151 in FY2021 (-50.2%).
- The Q1 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Non-Current Liabilities has increased for 12 consecutive quarters, with growth averaging 101.6% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 975.2% in Q2 2022, against a decline of 65.1% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $48.39 million (Q4 2025), $47.59 million (Q3 2025) and $48.5 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Sanara MedTech | 323.06 Mn | 323.06 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 48.56 Mn |
| Dec 31, 2025 | 48.39 Mn |
| Sep 30, 2025 | 47.59 Mn |
| Jun 30, 2025 | 48.50 Mn |
| Mar 31, 2025 | 46.43 Mn |
| Dec 31, 2024 | 33.89 Mn |
| Sep 30, 2024 | 34.75 Mn |
| Jun 30, 2024 | 20.42 Mn |
| Mar 31, 2024 | 15.15 Mn |
| Dec 31, 2023 | 15.52 Mn |
| Sep 30, 2023 | 18.15 Mn |
| Jun 30, 2023 | 7.43 Mn |
| Mar 31, 2023 | 7.89 Mn |
| Dec 31, 2022 | 6.51 Mn |
| Sep 30, 2022 | 7.62 Mn |
| Jun 30, 2022 | 4.10 Mn |
| Mar 31, 2022 | 187,040.00 |
| Dec 31, 2021 | 222,151.00 |
| Sep 30, 2021 | 347,011.00 |
| Jun 30, 2021 | 381,044.00 |
API Access
Sanara MedTech Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SMTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SMTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();