Covista (CVSA) Buildings (2009 - 2019)
Covista's Buildings came in at $383.33 million for fiscal Q4 2019 (quarter ended Jun 30, 2019), down 1.5% from $389.13 million a year earlier but up 2.3% from the prior quarter.
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Analysis
Covista (CVSA) Buildings (2009 - 2019) Analysis & Trends
Going back to fiscal Q1 2010, Covista's Buildings data covers 40 quarters.
- Buildings has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -3.8% (FY2014 to FY2019).
- Going back by fiscal year, Buildings was $389.13 million in FY2018 (-4.5%), $407.62 million in FY2017 (-16.5%), $488.35 million in FY2016 (+0.6%) and $485.29 million in FY2015 (+4.4%).
- The five-year range for quarterly Buildings is $349.69 million (fiscal Q1 2019) to $490.02 million (fiscal Q1 2016).
- Year-over-year, Buildings has declined for 12 consecutive quarters, with an average decline of 8.7% over the last eight quarters.
- The fastest year-over-year change in Buildings over five years came in fiscal Q1 2015 (growth of 9.1%), and the weakest in fiscal Q1 2018 (a decline of 16.6%).
- Business Quant data shows CVSA's Buildings at $374.54 million (Q3 2019), $364.42 million (Q2 2019) and $349.69 million (Q1 2019) in the three fiscal quarters before Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Service Corp International | 11.15 Bn | 10.15 Bn | 273.50 Mn |
| 2 | New Oriental Education & Technology | 9.53 Bn | -1.61 Bn | 5,600.00 |
| 3 | TAL Education | 7.16 Bn | -5.83 Bn | 438.20 Mn |
| 4 | Laureate Education | 5.43 Bn | 4.73 Bn | 237.67 Mn |
| 5 | Graham Holdings | 5.11 Bn | 202.28 Mn | 392.03 Mn |
| 6 | Covista | 4.47 Bn | 3.59 Bn | 284.63 Mn |
| 7 | Valvoline | 4.04 Bn | 3.75 Bn | 214.90 Mn |
| 8 | Bright Horizons Family Solutions | 3.63 Bn | 3.07 Bn | 188.96 Mn |
| 9 | Stride | 3.55 Bn | 446.85 Mn | 217.28 Mn |
| 10 | Onespaworld Holdings | 2.43 Bn | 2.33 Bn | 44.57 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();