Honda Motor (HMC) Buildings (2009 - 2016)
Honda Motor's (HMC) quarterly Buildings came in at $2.3 billion in Q1 2016, up 0.69% on a YoY basis from $2.3 billion in Q2 2015, and up 0.69% quarter-over-quarter from $2.3 billion in Q1 2015.
Honda Motor (HMC) Buildings (2009 - 2016) Analysis & Trends
Honda Motor (HMC) has reported Buildings for 8 consecutive years, with $2.3 billion the latest figure, recorded in Q1 2016.
- For the quarter ending Q1 2016, Buildings rose 0.69% year-over-year to $2.3 billion; the trailing twelve-month figure through Mar 2016 stood at $2.3 billion (up 0.69% YoY), and the FY2016 full-year result was $2.3 billion, up 0.69% from the prior year.
- Buildings climbed to $2.3 billion in Q1 2016 per HMC's latest filing, from $2.3 billion in the prior quarter.
- Across five years, Buildings topped out at $19.7 billion in Q4 2012 and bottomed at $2.3 billion in Q1 2015.
- Historically, Buildings has averaged $14.3 billion across 5 years, with a median of $18.3 billion in 2014.
- The widest YoY moves for Buildings: up 7.47% in 2014, down 85.37% in 2014.
- Over 5 years, Buildings stood at $19.7 billion in 2012, then declined by 7.04% to $18.3 billion in 2013, then gained by 0.16% to $18.3 billion in 2014, then plunged by 87.36% to $2.3 billion in 2015, then advanced by 0.69% to $2.3 billion in 2016.
- According to Business Quant data, Buildings over the past three periods registered $2.3 billion, $2.3 billion, and $18.3 billion for Q1 2016, Q1 2015, and Q4 2014 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn |
| 4 | Honda Motor | 147.05 Bn | 108.59 Bn | 8.46 Bn |
| 5 | General Motors | 73.24 Bn | 50.16 Bn | 7.33 Bn |
| 6 | Ford Motor | 51.31 Bn | 20.01 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.62 Bn | 15.33 Bn | 179.00 Mn |
| 8 | Magna International | 17.88 Bn | 16.79 Bn | 1.61 Bn |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn |
| 10 | Li Auto | 11.82 Bn | -670.23 Mn | 417.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | 2.33 Bn |
| Mar 31, 2015 | 2.32 Bn |
| Dec 31, 2014 | 18.33 Bn |
| Sep 30, 2014 | 19.22 Bn |
| Mar 31, 2014 | 2.68 Bn |
| Dec 31, 2013 | 18.30 Bn |
| Sep 30, 2013 | 17.88 Bn |
| Mar 31, 2013 | 18.34 Bn |
| Dec 31, 2012 | 19.68 Bn |
| Sep 30, 2012 | 19.58 Bn |
| Mar 31, 2012 | 18.85 Bn |
| Dec 31, 2011 | 18.65 Bn |
| Sep 30, 2011 | 18.62 Bn |
| Jun 30, 2011 | 17.97 Bn |
| Mar 31, 2011 | 17.92 Bn |
| Dec 31, 2010 | 17.77 Bn |
| Sep 30, 2010 | 17.19 Bn |
| Mar 31, 2010 | 16.64 Bn |
| Dec 31, 2009 | 16.54 Bn |
| Sep 30, 2009 | 15.72 Bn |
Honda Motor 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=HMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "HMC", "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=HMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();