Nippon Telegraph & Telephone (NTTYY) Buildings (2009 - 2017)
Nippon Telegraph & Telephone's Buildings came in at $54.08 billion for fiscal Q4 2017 (quarter ended Mar 31, 2017), up 2.8% from $52.62 billion a year earlier.
Nippon Telegraph & Telephone (NTTYY) Buildings (2009 - 2017) Analysis & Trends
Going back to fiscal Q4 2009, Nippon Telegraph & Telephone's Buildings data covers 9 quarters.
- Buildings carries a five-year compound annual growth rate of -6.3% (FY2012 to FY2017).
- Going back by fiscal year, Buildings was $52.62 billion in FY2016 (+2.6%), $51.27 billion in FY2015 (-13.0%), $58.91 billion in FY2014 (-9.6%) and $65.16 billion in FY2013 (-12.8%).
- The fiscal Q4 2017 figure represents the highest quarterly Buildings since fiscal Q4 2014.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 55.00 Bn |
| Mar 31, 2016 | 54.01 Bn |
| Mar 31, 2015 | 50.89 Bn |
| Mar 31, 2014 | 58.90 Bn |
| Mar 31, 2013 | 63.63 Bn |
| Mar 31, 2012 | 71.90 Bn |
| Mar 31, 2011 | 70.42 Bn |
| Mar 31, 2010 | 61.91 Bn |
| Mar 31, 2009 | 58.30 Bn |
Nippon Telegraph & Telephone 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=NTTYY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "NTTYY", "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=NTTYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();