Sanara MedTech (SMTI) Change in Accrued Expenses (2009 - 2026)
Sanara MedTech (SMTI) recorded Change in Accured Expenses of -$783,390 in Q1 2024, compared with -$1.95 million a year earlier.
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Analysis
Sanara MedTech (SMTI) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Sanara MedTech's Change in Accured Expenses came in at $1.08 million as of Mar 31, 2024, down 25.5% year-over-year; for FY2023, it was -$81,513.
- Across earlier years, Change in Accured Expenses came in at $2.99 million in FY2022 (+224.4%), $923,063 in FY2021 (+3.6%), $890,824 in FY2020 (-27.3%) and $1.22 million in FY2019 (+498.1%).
- Quarterly Change in Accured Expenses has ranged from -$1.95 million in Q1 2023 to $1.59 million in Q4 2023 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in four of the last six quarters, with growth averaging 89.2%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 420.0% in Q3 2022, against a decline of 88.1% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.59 million (Q4 2023), $185,400 (Q3 2023) and $90,296 (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | - |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 30.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 77.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 89.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 67.20 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 255.00 Mn |
| 10 | Sanara MedTech | 291.06 Mn | 230.52 Mn | 26,155.41 Bn | 1.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.00 Mn |
| Mar 31, 2026 | -105,442.00 |
| Dec 31, 2025 | -111,572.00 |
| Sep 30, 2025 | 86,691.00 |
| Jun 30, 2025 | 249,852.00 |
| Mar 31, 2025 | 67,224.00 |
| Dec 31, 2024 | 324,279.00 |
| Sep 30, 2024 | -152,700.00 |
| Jun 30, 2024 | 1.19 Mn |
| Mar 31, 2024 | -783,390.00 |
| Dec 31, 2023 | 1.59 Mn |
| Sep 30, 2023 | 185,400.00 |
| Jun 30, 2023 | 90,296.00 |
| Mar 31, 2023 | -1.95 Mn |
| Dec 31, 2022 | 1.48 Mn |
| Sep 30, 2022 | 1.17 Mn |
| Jun 30, 2022 | 756,486.00 |
| Mar 31, 2022 | -409,599.00 |
| Dec 31, 2021 | 458,405.00 |
| Sep 30, 2021 | 225,008.00 |
API Access
Sanara MedTech Change in Accrued 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=change-in-accured-expenses&ticker=SMTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=SMTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();