Graham Holdings (GHC) Land & Improvements (2011 - 2012)
Graham Holdings' (GHC) quarterly Land & Improvements came in at $43.0 million in Q4 2012, up 4.62% year-over-year from $41.1 million in Q1 2012, and up 4.62% quarter-over-quarter from $41.1 million in Q4 2011.
Graham Holdings (GHC) Land & Improvements (2011 - 2012) Analysis & Trends
Graham Holdings has disclosed Land & Improvements across 2 years of filings, most recently posting $43.0 million for Q4 2012.
- In Q4 2012, Land & Improvements rose 4.62% year-over-year to $43.0 million; the TTM figure through Dec 2012 stood at $43.0 million (up 4.62% YoY), while the FY2012 annual figure was $43.0 million, up 4.62% from the prior year.
- Land & Improvements came in at $43.0 million for Q4 2012 at Graham Holdings, up from $41.1 million in the prior quarter.
- In the past five years, Land & Improvements ranged from a high of $43.0 million in Q4 2012 to a low of $41.1 million in Q4 2011.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 10.64 Bn | 10.38 Bn | 273.50 Mn | - |
| 2 | New Oriental Education & Technology | 8.69 Bn | 6.29 Bn | -19,600.00 | - |
| 3 | Laureate Education | 5.06 Bn | 4.90 Bn | 237.67 Mn | 161.67 Mn |
| 4 | Graham Holdings | 4.89 Bn | 3.68 Bn | 777.03 Mn | - |
| 5 | Covista | 4.19 Bn | 3.78 Bn | 284.63 Mn | - |
| 6 | Valvoline | 3.67 Bn | 3.58 Bn | 214.90 Mn | - |
| 7 | Bright Horizons Family Solutions | 3.28 Bn | 3.11 Bn | 188.96 Mn | - |
| 8 | Stride | 3.26 Bn | 2.30 Bn | 217.28 Mn | - |
| 9 | TAL Education | 2.28 Bn | -596.06 Mn | 438.20 Mn | - |
| 10 | Onespaworld Holdings | 2.26 Bn | 2.22 Bn | 84.35 Mn | - |
Graham Holdings 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=GHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "GHC", "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=GHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();