Honda Motor (HMC) Land & Improvements (2009 - 2016)
Honda Motor's (HMC) quarterly Land & Improvements came in at $3.0 billion in Q1 2016, up 4.62% on a YoY basis from $2.9 billion in Q2 2015, and up 4.62% quarter-over-quarter from $2.9 billion in Q1 2015.
Honda Motor (HMC) Land & Improvements (2009 - 2016) Analysis & Trends
Honda Motor (HMC) has reported Land & Improvements for 8 consecutive years, with $3.0 billion the latest figure, recorded in Q1 2016.
- For the quarter ending Q1 2016, Land & Improvements rose 4.62% year-over-year to $3.0 billion; the trailing twelve-month figure through Mar 2016 stood at $3.0 billion (up 4.62% YoY), and the FY2016 full-year result was $3.0 billion, up 4.62% from the prior year.
- Land & Improvements improved to $3.0 billion in Q1 2016 per HMC's latest filing, from $2.9 billion in the prior quarter.
- Across five years, Land & Improvements topped out at $6.2 billion in Q3 2012 and bottomed at $2.9 billion in Q1 2015.
- Historically, Land & Improvements has averaged $4.9 billion across 5 years, with a median of $5.1 billion in 2013.
- The sharpest annual moves came in 2012 and 2014: Land & Improvements advanced 4.81% in 2012, then tumbled 40.19% in 2014.
- Over 5 years, Land & Improvements stood at $6.1 billion in 2012, then dropped by 15.67% to $5.2 billion in 2013, then retreated by 8.43% to $4.7 billion in 2014, then plunged by 38.64% to $2.9 billion in 2015, then gained by 4.62% to $3.0 billion in 2016.
- According to Business Quant data, Land & Improvements over the past three periods registered $3.0 billion, $2.9 billion, and $4.7 billion for Q1 2016, Q1 2015, and Q4 2014 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | 8.55 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 | 3.05 Bn |
| Mar 31, 2015 | 2.91 Bn |
| Dec 31, 2014 | 4.75 Bn |
| Sep 30, 2014 | 5.11 Bn |
| Mar 31, 2014 | 3.35 Bn |
| Dec 31, 2013 | 5.19 Bn |
| Sep 30, 2013 | 5.15 Bn |
| Mar 31, 2013 | 5.61 Bn |
| Dec 31, 2012 | 6.15 Bn |
| Sep 30, 2012 | 6.21 Bn |
| Mar 31, 2012 | 6.17 Bn |
| Dec 31, 2011 | 6.18 Bn |
| Sep 30, 2011 | 6.14 Bn |
| Jun 30, 2011 | 5.92 Bn |
| Mar 31, 2011 | 5.88 Bn |
| Dec 31, 2010 | 5.81 Bn |
| Sep 30, 2010 | 5.63 Bn |
| Mar 31, 2010 | 5.40 Bn |
| Dec 31, 2009 | 5.32 Bn |
| Sep 30, 2009 | 5.03 Bn |
Honda Motor 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=HMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=HMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();