Scientific Industries (SCND) Total Non-Current Liabilities (2015 - 2022)
Scientific Industries (SCND) posted Total Non-Current Liabilities of $3.47 million for Q4 2022, up 25.2% from $2.77 million a year earlier and up 2.3% from the prior quarter.
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Analysis
Scientific Industries (SCND) Total Non-Current Liabilities (2015 - 2022) Analysis & Trends
Since Q4 2015, Scientific Industries has reported Total Non-Current Liabilities for 26 quarters.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 29.9% (FY2017 to FY2022).
- In prior years, Scientific Industries' Total Non-Current Liabilities was $2.77 million in FY2021 (-9.9%), $3.08 million in FY2020 (+133.5%), $1.32 million in FY2019 (-15.7%) and $1.56 million in FY2018 (+66.4%).
- The Q4 2022 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2015.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last three quarters, with growth averaging 20.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2020, with growth of 133.5%; the weakest was Q1 2018, with a decline of 29.0%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $3.39 million (Q3 2022), $3.36 million (Q2 2022) and $2.49 million (Q1 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | - |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 2.57 Bn |
| 10 | Scientific Industries | 8.95 Mn | -4.22 Mn | 622,700.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 3.47 Mn |
| Mar 31, 2022 | 3.39 Mn |
| Dec 31, 2021 | 3.36 Mn |
| Sep 30, 2021 | 2.49 Mn |
| Jun 30, 2021 | 2.77 Mn |
| Mar 31, 2021 | 2.83 Mn |
| Dec 31, 2020 | 2.74 Mn |
| Sep 30, 2020 | 2.73 Mn |
| Jun 30, 2020 | 3.08 Mn |
| Mar 31, 2020 | 2.21 Mn |
| Dec 31, 2019 | 1.92 Mn |
| Sep 30, 2019 | 1.94 Mn |
| Jun 30, 2019 | 1.32 Mn |
| Mar 31, 2019 | 1.54 Mn |
| Dec 31, 2018 | 1.65 Mn |
| Sep 30, 2018 | 1.47 Mn |
| Jun 30, 2018 | 1.56 Mn |
| Mar 31, 2018 | 1.80 Mn |
| Dec 31, 2017 | 1.37 Mn |
| Sep 30, 2017 | 1.06 Mn |
API Access
Scientific Industries 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=SCND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SCND", "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=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();