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 | 266.22 Bn | 242.86 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | - |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 17.66 Bn |
| 10 | Sanara MedTech | 291.06 Mn | 230.52 Mn | 26,155.41 Bn | 48.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.72 Mn |
| 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 |
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();