Intelligent Protection Management (IPM) Total Non-Current Liabilities (2010 - 2016)
Intelligent Protection Management (IPM) reported Total Non-Current Liabilities of $6.42 million for Q4 2016, up 67.7% from $3.83 million a year earlier and up 10.2% from the prior quarter.
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Analysis
Intelligent Protection Management (IPM) Total Non-Current Liabilities (2010 - 2016) Analysis & Trends
Dating back to Q4 2010, Intelligent Protection Management's Total Non-Current Liabilities record includes 22 quarters.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 4.7% (FY2011 to FY2016).
- By year, Total Non-Current Liabilities came in at $3.83 million in FY2015, -$10.19 million in FY2014, $3.67 million in FY2013 (+1.7%) and $3.61 million in FY2012 (-29.1%).
- The Q4 2016 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- Year over year, Total Non-Current Liabilities has now increased in each of the last four quarters, with growth averaging 21.6% over the last seven quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2016 (growth of 67.7%); the low point was Q2 2013 (a decline of 40.9%).
- Per Business Quant data, the three quarters before Q4 2016 came in at $5.83 million (Q3 2016), $5.25 million (Q2 2016) and $5 million (Q1 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 1.10 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 5.59 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 29.07 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 6.52 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 8.68 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 30.80 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 10.19 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 17.06 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 991.88 Mn |
| 10 | Intelligent Protection Management | 23.33 Mn | -487,682.59 | 2.67 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 6.42 Mn |
| Sep 30, 2016 | 5.83 Mn |
| Jun 30, 2016 | 5.25 Mn |
| Mar 31, 2016 | 5.00 Mn |
| Dec 31, 2015 | 3.83 Mn |
| Sep 30, 2015 | 4.54 Mn |
| Jun 30, 2015 | 4.28 Mn |
| Mar 31, 2015 | 4.31 Mn |
| Dec 31, 2014 | -10.19 Mn |
| Sep 30, 2014 | 4.43 Mn |
| Jun 30, 2014 | 4.24 Mn |
| Mar 31, 2014 | 3.82 Mn |
| Dec 31, 2013 | 3.67 Mn |
| Sep 30, 2013 | 3.38 Mn |
| Jun 30, 2013 | 3.45 Mn |
| Mar 31, 2013 | 3.68 Mn |
| Dec 31, 2012 | 3.61 Mn |
| Sep 30, 2012 | 5.06 Mn |
| Jun 30, 2012 | 5.83 Mn |
| Mar 31, 2012 | 5.71 Mn |
API Access
Intelligent Protection Management 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=IPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "IPM", "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=IPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();