Genoil (GNOLF) Restructuring Costs (2009 - 2010)
Genoil's Restructuring Costs was $12,558 in Q4 2010, down 21.7% from $16,039 a year earlier and down 26.6% from the prior quarter.
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Analysis
Genoil (GNOLF) Restructuring Costs (2009 - 2010) Analysis & Trends
For FY2010, Restructuring Costs at Genoil came in at $63,987, down 54.0% from FY2009.
- In earlier years, Restructuring Costs was $138,993 in FY2009.
- The Q4 2010 figure marks the lowest quarterly Restructuring Costs in data going back to Q1 2009.
- Compared with a year earlier, Restructuring Costs has declined for four straight quarters, with an average decline of 48.4% over the last four quarters.
- Per Business Quant data, GNOLF's Restructuring Costs in the three quarters before Q4 2010 was $17,100 (Q3 2010), $17,289 (Q2 2010) and $16,955 (Q1 2010).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn |
| 10 | Genoil | 6.11 Mn | 6.01 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2010 | 12,557.90 |
| Sep 30, 2010 | 17,099.75 |
| Jun 30, 2010 | 17,289.46 |
| Mar 31, 2010 | 16,954.67 |
| Dec 31, 2009 | 16,038.65 |
| Sep 30, 2009 | 44,181.97 |
| Jun 30, 2009 | 40,186.62 |
| Mar 31, 2009 | 36,551.18 |
API Access
Genoil Restructuring Costs 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=restructuring-costs&ticker=GNOLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "GNOLF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=restructuring-costs&ticker=GNOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();