Cpi Aerostructures (CVU) Total Non-Current Liabilities (2010 - 2018)
Cpi Aerostructures (CVU) reported Total Non-Current Liabilities of $50.84 million for Q4 2018, down 62.9% from $136.86 million a year earlier and down 64.8% from the prior quarter.
Cpi Aerostructures (CVU) Total Non-Current Liabilities (2010 - 2018) Analysis & Trends
Dating back to Q4 2010, Cpi Aerostructures' Total Non-Current Liabilities record includes 31 quarters.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 7.9% (FY2013 to FY2018).
- By year, Total Non-Current Liabilities came in at $136.86 million in FY2017 (+176.2%), $49.55 million in FY2016 (+8.8%), $45.55 million in FY2015 (+19.9%) and $38 million in FY2014 (+9.4%).
- The Q4 2018 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q3 2017.
- Year over year, Total Non-Current Liabilities gained in four of the last seven quarters, with growth averaging 99.7%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2018 (growth of 213.0%); the low point was Q4 2018 (a decline of 62.9%).
- Per Business Quant data, the three quarters before Q4 2018 came in at $144.35 million (Q3 2018), $143.37 million (Q2 2018) and $137.92 million (Q1 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 313.27 Bn | 267.05 Bn | 4.68 Bn | 96.00 Bn |
| 2 | Rtx | 256.38 Bn | 227.85 Bn | 5.13 Bn | 86.00 Mn |
| 3 | Boeing | 150.24 Bn | 56.93 Bn | 2.41 Bn | 157.29 Bn |
| 4 | Lockheed Martin | 126.14 Bn | 112.87 Bn | 2.45 Bn | 48.28 Bn |
| 5 | General Dynamics | 92.59 Bn | 79.70 Bn | 2.18 Bn | 14.57 Bn |
| 6 | Howmet Aerospace | 84.34 Bn | 79.94 Bn | 951.00 Mn | 6.90 Bn |
| 7 | Motorola Solutions | 76.28 Bn | 72.63 Bn | 1.68 Bn | 14.44 Bn |
| 8 | Northrop Grumman | 76.21 Bn | 65.45 Bn | 2.12 Bn | 30.72 Bn |
| 9 | Honeywell International | 67.68 Bn | 19.80 Bn | 3.65 Bn | 52.22 Bn |
| 10 | Cpi Aerostructures | 62.92 Mn | 59.64 Mn | 3.87 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 50.84 Mn |
| Sep 30, 2018 | 144.35 Mn |
| Jun 30, 2018 | 143.37 Mn |
| Mar 31, 2018 | 137.89 Mn |
| Dec 31, 2017 | 136.84 Mn |
| Sep 30, 2017 | 47.95 Mn |
| Jun 30, 2017 | 45.81 Mn |
| Mar 31, 2017 | 49.01 Mn |
| Dec 31, 2016 | 49.54 Mn |
| Sep 30, 2016 | 49.98 Mn |
| Mar 31, 2016 | 52.51 Mn |
| Dec 31, 2015 | 45.54 Mn |
| Sep 30, 2015 | 43.68 Mn |
| Jun 30, 2015 | 39.04 Mn |
| Mar 31, 2015 | 42.94 Mn |
| Dec 31, 2014 | 38.00 Mn |
| Sep 30, 2014 | 42.39 Mn |
| Jun 30, 2014 | 44.22 Mn |
| Mar 31, 2014 | 41.60 Mn |
| Dec 31, 2013 | 34.73 Mn |
Cpi Aerostructures 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=CVU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "CVU", "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=CVU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();