Sensus Healthcare (SRTS) Total Non-Current Liabilities (2020 - 2023)
Sensus Healthcare's Total Non-Current Liabilities came in at $4.21 million for Q4 2023, down 47.5% from $8 million a year earlier.
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Analysis
Sensus Healthcare (SRTS) Total Non-Current Liabilities (2020 - 2023) Analysis & Trends
Going back to Q3 2020, Sensus Healthcare's Total Non-Current Liabilities data covers 8 quarters.
- Total Non-Current Liabilities carries a three-year compound annual growth rate of -13.2% (FY2020 to FY2023).
- Going back by year, Total Non-Current Liabilities was $8 million in FY2022 (+30.4%), $6.14 million in FY2021 (-4.5%) and $6.43 million in FY2020.
- The Q4 2023 figure represents the lowest quarterly Total Non-Current Liabilities in data going back to Q3 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.10 Bn | 230.13 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 178.21 Bn | 148.64 Bn | 7.27 Bn | - |
| 3 | Danaher | 162.03 Bn | 145.84 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 153.92 Bn | 134.21 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.31 Bn | 87.56 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 117.16 Bn | 103.28 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 67.26 Bn | 62.03 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 54.42 Bn | 51.57 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.36 Bn | 1.35 Bn | 2.19 Bn |
| 10 | Sensus Healthcare | 47.18 Mn | -32.87 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 4.21 Mn |
| Dec 31, 2022 | 8.00 Mn |
| Sep 30, 2022 | 6.97 Mn |
| Jun 30, 2022 | 10.64 Mn |
| Mar 31, 2022 | 10.81 Mn |
| Dec 31, 2021 | 6.14 Mn |
| Dec 31, 2020 | 6.43 Mn |
| Sep 30, 2020 | 7.22 Mn |
API Access
Sensus Healthcare 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=SRTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SRTS", "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=SRTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();