Creditriskmonitor Com (CRMZ) Total Non-Current Liabilities (2010 - 2019)
Creditriskmonitor Com (CRMZ) reported Total Non-Current Liabilities of $13.27 million for Q4 2019, up 24.8% from $10.63 million a year earlier and up 3.5% from the prior quarter.
Creditriskmonitor Com (CRMZ) Total Non-Current Liabilities (2010 - 2019) Analysis & Trends
Dating back to Q4 2010, Creditriskmonitor Com's Total Non-Current Liabilities record includes 36 quarters.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 6.3% (FY2014 to FY2019).
- By year, Total Non-Current Liabilities came in at $10.63 million in FY2018 (+4.0%), $10.22 million in FY2017 (-0.1%), $10.23 million in FY2016 (+7.5%) and $9.52 million in FY2015 (-2.8%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $9.24 million in Q1 2015 and a high of $13.34 million in Q2 2019.
- Year over year, Total Non-Current Liabilities has now increased in each of the last five quarters, with growth averaging 15.0% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2019 (growth of 29.0%); the low point was Q4 2015 (a decline of 2.8%).
- Per Business Quant data, the three quarters before Q4 2019 came in at $12.83 million (Q3 2019), $13.34 million (Q2 2019) and $13.21 million (Q1 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 1.78 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 188.55 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 12.35 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 67.55 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 18.55 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 56.02 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 17.49 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 1.34 Mn |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 21.67 Bn |
| 10 | Creditriskmonitor Com | 23.15 Mn | -41.97 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 13.27 Mn |
| Sep 30, 2019 | 12.83 Mn |
| Jun 30, 2019 | 13.34 Mn |
| Mar 31, 2019 | 13.21 Mn |
| Dec 31, 2018 | 10.63 Mn |
| Sep 30, 2018 | 9.94 Mn |
| Jun 30, 2018 | 10.49 Mn |
| Mar 31, 2018 | 10.23 Mn |
| Dec 31, 2017 | 10.22 Mn |
| Sep 30, 2017 | 9.98 Mn |
| Jun 30, 2017 | 10.31 Mn |
| Mar 31, 2017 | 9.80 Mn |
| Dec 31, 2016 | 10.23 Mn |
| Sep 30, 2016 | 10.01 Mn |
| Jun 30, 2016 | 10.04 Mn |
| Mar 31, 2016 | 10.08 Mn |
| Dec 31, 2015 | 9.52 Mn |
| Sep 30, 2015 | 9.33 Mn |
| Jun 30, 2015 | 9.70 Mn |
| Mar 31, 2015 | 9.24 Mn |
Creditriskmonitor Com 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=CRMZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "CRMZ", "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=CRMZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();