Covista (CVSA) Buildings (2009 - 2019)
Covista's (CVSA) quarterly Buildings came in at $383.3 million in Q2 2019, down 1.49% year-over-year from $389.1 million in Q2 2018, and up 2.35% quarter-over-quarter from $374.5 million in Q1 2019.
Covista (CVSA) Buildings (2009 - 2019) Analysis & Trends
Covista (CVSA) has reported Buildings for 11 consecutive years, with $383.3 million the latest figure, recorded in Q2 2019.
- On a quarterly basis, Buildings fell 1.49% year-over-year to $383.3 million in Q2 2019; TTM through Jun 2019 was $383.3 million, a 1.49% decrease from a year earlier, with the FY2019 full-year figure at $383.3 million, down 1.49% from the prior year.
- Buildings was $383.3 million for Q2 2019 at Covista, up from $374.5 million in the prior quarter.
- Over five years, Buildings peaked at $490.0 million in Q3 2015 and troughed at $349.7 million in Q3 2018.
- A 5-year average of $428.6 million and a median of $423.5 million in 2017 frame the typical range for Buildings.
- Across the five-year window, Buildings advanced 5.17% in 2015 and retreated 16.61% in 2017, its largest moves.
- Over 5 years, Buildings stood at $489.1 million in 2015, then dropped by 9.79% to $441.3 million in 2016, then decreased by 11.26% to $391.6 million in 2017, then fell by 6.94% to $364.4 million in 2018, then increased by 5.19% to $383.3 million in 2019.
- The last three Buildings figures came in at $383.3 million (Q2 2019), $374.5 million (Q1 2019), and $364.4 million (Q4 2018), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Service Corp International | 10.64 Bn | 10.38 Bn | 273.50 Mn |
| 2 | New Oriental Education & Technology | 8.69 Bn | 6.29 Bn | -19,600.00 |
| 3 | Laureate Education | 5.06 Bn | 4.90 Bn | 237.67 Mn |
| 4 | Graham Holdings | 4.89 Bn | 3.68 Bn | 777.03 Mn |
| 5 | Covista | 4.19 Bn | 3.78 Bn | 284.63 Mn |
| 6 | Valvoline | 3.67 Bn | 3.58 Bn | 214.90 Mn |
| 7 | Bright Horizons Family Solutions | 3.28 Bn | 3.11 Bn | 188.96 Mn |
| 8 | Stride | 3.26 Bn | 2.30 Bn | 217.28 Mn |
| 9 | TAL Education | 2.28 Bn | -596.06 Mn | 438.20 Mn |
| 10 | Onespaworld Holdings | 2.26 Bn | 2.22 Bn | 84.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 383.33 Mn |
| Mar 31, 2019 | 374.54 Mn |
| Dec 31, 2018 | 364.42 Mn |
| Sep 30, 2018 | 349.69 Mn |
| Jun 30, 2018 | 389.13 Mn |
| Mar 31, 2018 | 383.88 Mn |
| Dec 31, 2017 | 391.57 Mn |
| Sep 30, 2017 | 403.72 Mn |
| Jun 30, 2017 | 407.62 Mn |
| Mar 31, 2017 | 439.33 Mn |
| Dec 31, 2016 | 441.27 Mn |
| Sep 30, 2016 | 484.10 Mn |
| Jun 30, 2016 | 488.35 Mn |
| Mar 31, 2016 | 478.25 Mn |
| Dec 31, 2015 | 489.15 Mn |
| Sep 30, 2015 | 490.02 Mn |
| Jun 30, 2015 | 485.29 Mn |
| Mar 31, 2015 | 470.71 Mn |
| Dec 31, 2014 | 467.33 Mn |
| Sep 30, 2014 | 465.93 Mn |
Covista Buildings 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=buildings&ticker=CVSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "CVSA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=CVSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();