ONE Group Hospitality (STKS) Change in Taxes (2012 - 2013)
ONE Group Hospitality's Change in Taxes came in at $45,000 for Q3 2013, up 12.5% from $40,000 a year earlier and unchanged from the prior quarter.
ONE Group Hospitality (STKS) Change in Taxes (2012 - 2013) Analysis & Trends
Over the trailing twelve months to Sep 30, 2013, ONE Group Hospitality reported Change in Taxes of $196,000; for FY2012, it was $181,000, up 112.9% from FY2011.
- Going back by year, Change in Taxes was $85,000 in FY2011.
- The five-year range for quarterly Change in Taxes is $40,000 (Q1 2012) to $61,000 (Q4 2012).
- Year-over-year, Change in Taxes has increased for three consecutive quarters.
- Business Quant data shows STKS's Change in Taxes at $45,000 (Q2 2013), $45,000 (Q1 2013) and $61,000 (Q4 2012) in the three quarters before Q3 2013.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | - |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | 368.60 Mn |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | -28.16 Mn |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | 2.00 Mn |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn | 39.40 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn | -53.00 Mn |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | 1.86 Mn |
| 10 | ONE Group Hospitality | 48.82 Mn | 22.19 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2013 | 45,000.00 |
| Jun 30, 2013 | 45,000.00 |
| Mar 31, 2013 | 45,000.00 |
| Dec 31, 2012 | 61,000.00 |
| Sep 30, 2012 | 40,000.00 |
| Jun 30, 2012 | 40,000.00 |
| Mar 31, 2012 | 40,000.00 |
ONE Group Hospitality Change in Taxes 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-taxes&ticker=STKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "ticker": "STKS", "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-taxes&ticker=STKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();