Precipio (PRPO) Total Non-Current Liabilities (2010 - 2019)
Precipio's Total Non-Current Liabilities was $7.19 million in Q3 2019, down 52.5% from $15.14 million a year earlier and down 9.4% from the prior quarter.
Precipio (PRPO) Total Non-Current Liabilities (2010 - 2019) Analysis & Trends
At the end of FY2018, Total Non-Current Liabilities at Precipio came in at $15.42 million, up 8.8% from FY2017.
- Total Non-Current Liabilities has now increased for three consecutive years, though with a five-year compound annual growth rate of -2.5% (FY2013 to FY2018).
- In earlier years, Total Non-Current Liabilities was $14.17 million in FY2017 (+94.0%), $7.3 million in FY2016 (+11.3%), $6.56 million in FY2015 (-71.0%) and $22.64 million in FY2014 (+29.1%).
- The Q3 2019 figure marks the lowest quarterly Total Non-Current Liabilities since Q4 2015.
- Compared with a year earlier, Total Non-Current Liabilities has declined for three straight quarters, with an average decline of 5.9% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2017 (growth of 94.0%); the worst was Q4 2015 (a decline of 71.0%).
- Per Business Quant data, PRPO's Total Non-Current Liabilities in the three quarters before Q3 2019 was $7.93 million (Q2 2019), $11.76 million (Q1 2019) and $15.42 million (Q4 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 101.86 Bn | 97.87 Bn | - | - |
| 2 | Natera | 59.98 Bn | 55.66 Bn | 485.19 Mn | 592.53 Mn |
| 3 | Quest Diagnostics | 26.39 Bn | 24.52 Bn | 1.03 Bn | 8.06 Bn |
| 4 | Labcorp Holdings | 26.30 Bn | 24.05 Bn | 1.11 Bn | 9.21 Bn |
| 5 | Tenet Healthcare | 22.62 Bn | 11.63 Bn | - | 21.36 Bn |
| 6 | Guardant Health | 22.56 Bn | 18.62 Bn | 219.03 Mn | 2.01 Bn |
| 7 | BrightSpring Health Services | 12.97 Bn | 11.30 Bn | 492.75 Mn | 76.61 Mn |
| 8 | Fresenius Medical Care AG | 12.57 Bn | 4.52 Bn | 1.52 Bn | 12.09 Bn |
| 9 | Tempus AI | 12.20 Bn | 9.23 Bn | 246.50 Mn | 1.86 Bn |
| 10 | Precipio | 38.77 Mn | 29.61 Mn | 3.14 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 7.19 Mn |
| Jun 30, 2019 | 7.93 Mn |
| Mar 31, 2019 | 11.76 Mn |
| Dec 31, 2018 | 15.38 Mn |
| Sep 30, 2018 | 15.07 Mn |
| Jun 30, 2018 | 13.48 Mn |
| Mar 31, 2018 | 12.09 Mn |
| Dec 31, 2017 | 14.17 Mn |
| Sep 30, 2017 | 13.86 Mn |
| Jun 30, 2017 | 16.45 Mn |
| Mar 31, 2017 | 21.13 Mn |
| Dec 31, 2016 | 7.30 Mn |
| Sep 30, 2016 | 18.26 Mn |
| Jun 30, 2016 | 17.72 Mn |
| Mar 31, 2016 | 17.28 Mn |
| Dec 31, 2015 | 6.26 Mn |
| Sep 30, 2015 | 16.67 Mn |
| Jun 30, 2015 | 18.16 Mn |
| Mar 31, 2015 | 22.45 Mn |
| Dec 31, 2014 | 22.49 Mn |
Precipio 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=PRPO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "PRPO", "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=PRPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();