Constellation Brands (STZ) Finished Goods (2012 - 2019)
Constellation Brands (STZ) posted Finished Goods of $467.3 million for Q1 2019, down 10.68% on a QoQ basis from $523.2 million in Q4 2018, and down 13.53% year-over-year from $540.4 million in Q1 2018.
Constellation Brands (STZ) Finished Goods (2012 - 2019) Analysis & Trends
Constellation Brands has reported Finished Goods for 8 years, with the latest figure at $467.3 million in Q1 2019.
- On a quarterly basis, Finished Goods fell 13.53% year-over-year to $467.3 million in Q1 2019; TTM through Feb 2019 was $467.3 million, a 13.53% decrease from a year earlier, with the FY2019 full-year figure at $467.3 million, down 13.53% from the prior year.
- Finished Goods was $467.3 million for Q1 2019 at Constellation Brands, down from $523.2 million in the prior quarter.
- The five-year high for Finished Goods was $599.9 million in Q4 2016, with the low at $467.3 million in Q1 2019.
- Average Finished Goods over 5 years is $533.8 million, with a median of $539.6 million recorded in 2015.
- The sharpest annual moves came in 2016 and 2019: Finished Goods advanced 18.93% in 2016, then decreased 13.53% in 2019.
- Over 5 years, Finished Goods stood at $504.4 million in 2015, then rose by 18.93% to $599.9 million in 2016, then fell by 5.52% to $566.8 million in 2017, then declined by 7.69% to $523.2 million in 2018, then decreased by 10.68% to $467.3 million in 2019.
- The last three Finished Goods figures came in at $467.3 million (Q1 2019), $523.2 million (Q4 2018), and $545.9 million (Q3 2018), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 Bn |
| 2 | Diageo | 209.58 Bn | 209.63 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 185.97 Bn | 185.19 Bn | 2.06 Bn |
| 4 | Pepsico | 177.68 Bn | 167.14 Bn | 13.11 Bn |
| 5 | Monster Beverage | 86.02 Bn | 82.60 Bn | 1.42 Bn |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn |
| 7 | Coca-Cola Europacific Partners | 44.77 Bn | 44.20 Bn | - |
| 8 | Keurig Dr Pepper | 43.22 Bn | 45.90 Bn | 3.07 Bn |
| 9 | Andina Bottling | 28.97 Bn | -301.93 Bn | 698.26 Mn |
| 10 | Constellation Brands | 19.91 Bn | 19.81 Bn | 1.32 Bn |
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2019 | 467.30 Mn |
| Nov 30, 2018 | 523.20 Mn |
| Aug 31, 2018 | 545.90 Mn |
| Feb 28, 2018 | 540.40 Mn |
| Nov 30, 2017 | 566.80 Mn |
| Feb 28, 2017 | 545.30 Mn |
| Nov 30, 2016 | 599.90 Mn |
| Aug 31, 2016 | 570.40 Mn |
| Feb 29, 2016 | 525.70 Mn |
| Nov 30, 2015 | 504.40 Mn |
| Aug 31, 2015 | 538.80 Mn |
| Feb 28, 2015 | 477.20 Mn |
| Nov 30, 2014 | 547.30 Mn |
| Aug 31, 2014 | 574.30 Mn |
| May 31, 2014 | 553.50 Mn |
| Feb 28, 2014 | 420.60 Mn |
| Nov 30, 2013 | 436.20 Mn |
| Aug 31, 2013 | 436.70 Mn |
| Feb 28, 2013 | 267.30 Mn |
| Nov 30, 2012 | 320.40 Mn |
Constellation Brands Finished Goods 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=finished-goods&ticker=STZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "STZ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=finished-goods&ticker=STZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();