Sony (SONY) Land & Improvements (2009 - 2021)
Sony's Land & Improvements came in at $751.61 million for the quarter ended Mar 31, 2021, up 0.4% from $748.37 million a year earlier and up 0.3% from the prior quarter.
Sony (SONY) Land & Improvements (2009 - 2021) Analysis & Trends
As of Mar 31, 2021, Sony's Land & Improvements was $750.47 million, up 0.1% from the prior year.
- Land & Improvements carries a five-year compound annual growth rate of -6.6% (years ended Mar 2016 to Mar 2021).
- Going back by year, Land & Improvements was $749.67 million in the year ended Mar 31, 2020 (-1.1%), $757.83 million in the year ended Mar 31, 2019 (-0.5%), $761.42 million in the year ended Mar 31, 2018 (-29.8%) and $1.08 billion in the year ended Mar 31, 2017 (+2.8%).
- The figure for the quarter ended Mar 31, 2021 represents the highest quarterly Land & Improvements since the quarter ended Dec 31, 2019.
- Year-over-year, Land & Improvements increased in three of the last eight quarters, with an average decline of 0.9%.
- The fastest year-over-year change in Land & Improvements over five years came in the quarter ended Sep 30, 2016 (growth of 13.8%), and the weakest in the quarter ended Sep 30, 2018 (a decline of 26.7%).
- Business Quant data shows SONY's Land & Improvements at $749.19 million (quarter ended Dec 31, 2020), $747.2 million (quarter ended Sep 30, 2020) and $742.54 million (quarter ended Jun 30, 2020) in the three quarters before the quarter ended Mar 31, 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,094.46 Bn | 4,841.95 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 415.82 Bn | 351.75 Bn | 11.06 Bn | - |
| 3 | Dell Technologies | 290.96 Bn | 246.72 Bn | 9.83 Bn | - |
| 4 | Arista Networks | 216.33 Bn | 169.79 Bn | 1.91 Bn | - |
| 5 | Sandisk | 186.25 Bn | 174.78 Bn | 7.58 Bn | - |
| 6 | Sony | 156.84 Bn | 94.10 Bn | 6.53 Bn | - |
| 7 | Seagate Technology Holdings | 140.29 Bn | 135.28 Bn | 1.90 Bn | - |
| 8 | Western Digital | 121.85 Bn | 109.98 Bn | 2.03 Bn | - |
| 9 | Hewlett Packard Enterprise | 74.03 Bn | 51.91 Bn | 4.93 Bn | - |
| 10 | Garmin | 57.30 Bn | 46.66 Bn | 1.26 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2021 | 721.25 Mn |
| Dec 31, 2020 | 759.16 Mn |
| Sep 30, 2020 | 750.88 Mn |
| Jun 30, 2020 | 742.26 Mn |
| Mar 31, 2020 | 754.22 Mn |
| Dec 31, 2019 | 758.36 Mn |
| Sep 30, 2019 | 766.39 Mn |
| Jun 30, 2019 | 771.27 Mn |
| Mar 31, 2019 | 759.17 Mn |
| Dec 31, 2018 | 764.81 Mn |
| Sep 30, 2018 | 745.86 Mn |
| Jun 30, 2018 | 766.54 Mn |
| Mar 31, 2018 | 792.25 Mn |
| Dec 31, 2017 | 1.02 Bn |
| Sep 30, 2017 | 1.02 Bn |
| Jun 30, 2017 | 1.05 Bn |
| Mar 31, 2017 | 1.05 Bn |
| Dec 31, 2016 | 1.02 Bn |
| Sep 30, 2016 | 1.16 Bn |
| Jun 30, 2016 | 1.17 Bn |
Sony Land & Improvements 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=land-and-improvements&ticker=SONY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "SONY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=SONY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();