Spindletop Oil & Gas (SPND) Change in Accured Expenses (2010 - 2016)
Spindletop Oil & Gas (SPND) reported Change in Accured Expenses of -$356,000 for Q1 2016, compared with -$181,000 a year earlier.
Spindletop Oil & Gas (SPND) Change in Accured Expenses (2010 - 2016) Analysis & Trends
Over the twelve months ended Mar 31, 2016, Spindletop Oil & Gas' Change in Accured Expenses came in at $869,000, down 18.3% year-over-year; for FY2011, it came in at $946,000.
- By year, Change in Accured Expenses came in at -$719,000 in FY2010 and -$794,000 in FY2009.
- The Q1 2016 figure ranks as the lowest quarterly Change in Accured Expenses in data going back to Q3 2010.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 673.87 Bn | 637.09 Bn | - | - |
| 2 | Shell | 543.95 Bn | 454.50 Bn | 30.13 Bn | - |
| 3 | Chevron | 409.32 Bn | 387.11 Bn | 33.45 Bn | - |
| 4 | TotalEnergies SE | 186.50 Bn | 69.63 Bn | - | - |
| 5 | Eni Spa | 171.15 Bn | 120.67 Bn | - | - |
| 6 | Conocophillips | 152.65 Bn | 125.36 Bn | 12.81 Bn | - |
| 7 | Equinor Asa | 105.44 Bn | 51.50 Bn | - | - |
| 8 | Phillips 66 | 105.42 Bn | 94.41 Bn | 8.38 Bn | - |
| 9 | Canadian Natural Resources | 99.52 Bn | 96.47 Bn | - | - |
| 10 | Spindletop Oil & Gas | 30.75 Mn | 11.02 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | -356,000.00 |
| Mar 31, 2015 | -181,000.00 |
| Sep 30, 2013 | 1.08 Mn |
| Jun 30, 2013 | 326,000.00 |
| Mar 31, 2013 | -161,000.00 |
| Sep 30, 2012 | 374,000.00 |
| Jun 30, 2012 | -44,000.00 |
| Mar 31, 2012 | -94,000.00 |
| Dec 31, 2011 | 524,000.00 |
| Sep 30, 2011 | 63,000.00 |
| Jun 30, 2011 | 147,000.00 |
| Mar 31, 2011 | 212,000.00 |
| Dec 31, 2010 | -215,000.00 |
| Sep 30, 2010 | -58,000.00 |
Spindletop Oil & Gas Change in Accured Expenses 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=change-in-accured-expenses&ticker=SPND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "SPND", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=SPND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();