Precipio (PRPO) Total Non-Current Liabilities (2009 - 2022)
Precipio's Total Non-Current Liabilities was $5.27 million in Q3 2022, up 29.7% from $4.06 million a year earlier but down 1.2% from the prior quarter.
Precipio (PRPO) Total Non-Current Liabilities (2009 - 2022) Analysis & Trends
At the end of FY2021, Total Non-Current Liabilities at Precipio came in at $5.23 million, up 0.1% from FY2020.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -6.5% (FY2016 to FY2021).
- In earlier years, Total Non-Current Liabilities was $5.23 million in FY2020 (+5.2%), $4.97 million in FY2019 (-67.7%), $15.38 million in FY2018 (+8.5%) and $14.17 million in FY2017 (+94.0%).
- Quarterly Total Non-Current Liabilities has moved between $4.06 million (Q3 2021) and $15.38 million (Q4 2018) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for four straight quarters, with an average decline of 0.6% 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 2019 (a decline of 67.7%).
- Per Business Quant data, PRPO's Total Non-Current Liabilities in the three quarters before Q3 2022 was $5.33 million (Q2 2022), $5.34 million (Q1 2022) and $5.23 million (Q4 2021).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 105.29 Bn | 103.13 Bn | 17.03 Bn | - |
| 2 | Natera | 46.06 Bn | 41.68 Bn | 513.47 Mn | 642.92 Mn |
| 3 | Labcorp Holdings | 30.09 Bn | 28.19 Bn | 1.11 Bn | 9.35 Bn |
| 4 | Quest Diagnostics | 28.58 Bn | 26.66 Bn | 1.04 Bn | 8.01 Bn |
| 5 | Guardant Health | 20.44 Bn | 16.05 Bn | 236.15 Mn | 2.04 Bn |
| 6 | BrightSpring Health Services | 14.16 Bn | 11.04 Bn | 518.55 Mn | 68.23 Mn |
| 7 | Encompass Health | 13.83 Bn | 14.29 Bn | 1.54 Bn | 3.84 Bn |
| 8 | Tempus AI | 12.69 Bn | 9.84 Bn | 266.70 Mn | 1.90 Bn |
| 9 | Davita | 11.06 Bn | 9.92 Bn | 1.13 Bn | 18.31 Bn |
| 10 | Precipio | 39.68 Mn | 27.77 Mn | 3.38 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 5.27 Mn |
| Jun 30, 2022 | 5.33 Mn |
| Mar 31, 2022 | 5.34 Mn |
| Dec 31, 2021 | 5.23 Mn |
| Sep 30, 2021 | 4.06 Mn |
| Jun 30, 2021 | 4.08 Mn |
| Mar 31, 2021 | 4.55 Mn |
| Dec 31, 2020 | 5.23 Mn |
| Sep 30, 2020 | 5.23 Mn |
| Jun 30, 2020 | 5.63 Mn |
| Mar 31, 2020 | 7.31 Mn |
| Dec 31, 2019 | 4.97 Mn |
| 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 |
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();