Greene County Bancorp (GCBC) Total Non-Current Liabilities (2011 - 2015)
Greene County Bancorp (GCBC) reported Total Non-Current Liabilities of $662.14 million for fiscal Q3 2015 (quarter ended Mar 31, 2015), up 4.2% from $635.74 million a year earlier and up 3.1% from the prior quarter.
Greene County Bancorp (GCBC) Total Non-Current Liabilities (2011 - 2015) Analysis & Trends
At the end of FY2014 (ended Jun 30, 2014), Greene County Bancorp posted Total Non-Current Liabilities of $607.22 million, up 6.0% from FY2013.
- Total Non-Current Liabilities has increased for three consecutive fiscal years, with a three-year compound annual growth rate of 7.0% (FY2011 to FY2014).
- By fiscal year, Total Non-Current Liabilities came in at $573.04 million in FY2013 (+7.5%), $532.94 million in FY2012 (+7.4%) and $496.2 million in FY2011.
- The fiscal Q3 2015 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2011.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 12 quarters, with growth averaging 6.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Non-Current Liabilities ranged from 4.2% (fiscal Q3 2015) to 12.8% (fiscal Q3 2013).
- Per Business Quant data, the three fiscal quarters before Q3 2015 came in at $642.18 million (Q2 2015), $630.61 million (Q1 2015) and $607.22 million (Q4 2014).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 4,639.66 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 60,162.97 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 3,155.50 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 381.20 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1,603.10 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 2,449.29 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1,977.24 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Greene County Bancorp | 570.35 Mn | 550.13 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2015 | 662.14 Mn |
| Dec 31, 2014 | 642.18 Mn |
| Sep 30, 2014 | 630.61 Mn |
| Jun 30, 2014 | 607.22 Mn |
| Mar 31, 2014 | 635.74 Mn |
| Dec 31, 2013 | 589.64 Mn |
| Sep 30, 2013 | 588.98 Mn |
| Jun 30, 2013 | 573.04 Mn |
| Mar 31, 2013 | 590.72 Mn |
| Dec 31, 2012 | 565.99 Mn |
| Sep 30, 2012 | 543.14 Mn |
| Jun 30, 2012 | 532.94 Mn |
| Mar 31, 2012 | 523.60 Mn |
| Dec 31, 2011 | 505.97 Mn |
| Sep 30, 2011 | 503.99 Mn |
| Jun 30, 2011 | 496.20 Mn |
Greene County Bancorp 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=GCBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "GCBC", "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=GCBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();