ONE Group Hospitality (STKS) Long-Term Investments (2011 - 2019)
ONE Group Hospitality (STKS) posted Long-Term Investments of $2.68 million for Q3 2019, up 2.8% from $2.61 million a year earlier and unchanged from the prior quarter.
ONE Group Hospitality (STKS) Long-Term Investments (2011 - 2019) Analysis & Trends
Since Q4 2011, ONE Group Hospitality has reported Long-Term Investments for 30 quarters.
- Annual Long-Term Investments shows a five-year compound annual growth rate of 1.1% (FY2013 to FY2018).
- In prior years, ONE Group Hospitality's Long-Term Investments was $2.96 million in FY2017 (-3.6%), $3.07 million in FY2016 (+5.3%), $2.91 million in FY2015 (+3.9%) and $2.8 million in FY2014 (+10.4%).
- Quarterly Long-Term Investments has run from a low of $2.52 million in Q1 2018 to a high of $3.22 million in Q3 2017 over five years.
- On a year-over-year basis, Long-Term Investments has increased in each of the last three quarters, with an average decline of 6.3% over the last eight quarters.
- The strongest year-over-year quarter for Long-Term Investments in the past five years was Q4 2014, with growth of 10.4%; the weakest was Q1 2018, with a decline of 19.0%.
- According to Business Quant data, Long-Term Investments for the three prior quarters was $2.68 million (Q2 2019), $2.68 million (Q1 2019) and $2.68 million (Q4 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | 2.90 Bn |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | 1.70 Bn |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | 97.08 Mn |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | - |
| 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 | - |
| 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 | 382.00 Mn |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | - |
| 10 | ONE Group Hospitality | 48.82 Mn | 22.19 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 2.68 Mn |
| Jun 30, 2019 | 2.68 Mn |
| Mar 31, 2019 | 2.68 Mn |
| Dec 31, 2018 | 2.68 Mn |
| Sep 30, 2018 | 2.61 Mn |
| Jun 30, 2018 | 2.65 Mn |
| Mar 31, 2018 | 2.52 Mn |
| Dec 31, 2017 | 2.96 Mn |
| Sep 30, 2017 | 3.22 Mn |
| Jun 30, 2017 | 2.96 Mn |
| Mar 31, 2017 | 3.11 Mn |
| Dec 31, 2016 | 3.07 Mn |
| Sep 30, 2016 | 3.13 Mn |
| Jun 30, 2016 | 3.04 Mn |
| Mar 31, 2016 | 2.89 Mn |
| Dec 31, 2015 | 2.91 Mn |
| Sep 30, 2015 | 2.99 Mn |
| Jun 30, 2015 | 3.00 Mn |
| Mar 31, 2015 | 2.80 Mn |
| Dec 31, 2014 | 2.80 Mn |
ONE Group Hospitality Long-Term Investments 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=long-term-investments&ticker=STKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=STKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();