Graham Holdings (GHC) Pension (2010 - 2018)
Graham Holdings' (GHC) quarterly Pension came in at $21.6 million in Q3 2018, down 5.77% year-over-year from $22.9 million in Q3 2017, and up 1.16% quarter-over-quarter from $21.4 million in Q2 2018.
Graham Holdings (GHC) Pension (2010 - 2018) Analysis & Trends
Graham Holdings has disclosed Pension across 9 years of filings, most recently posting $21.6 million for Q3 2018.
- In Q3 2018, Pension fell 5.77% year-over-year to $21.6 million; the TTM figure through Sep 2018 stood at $21.6 million (down 5.77% YoY), while the FY2017 annual figure was $20.9 million, down 4.55% from the prior year.
- Pension came in at $21.6 million for Q3 2018 at Graham Holdings, up from $21.4 million in the prior quarter.
- In the past five years, Pension ranged from a high of $38.5 million in Q3 2015 to a low of $20.9 million in Q4 2017.
- Average Pension over 5 years is $30.0 million, with a median of $33.9 million recorded in 2015.
- Year-over-year, Pension plunged 42.67% in 2014 and increased 11.25% in 2015.
- Over 5 years, Pension stood at $38.0 million in 2014, then dropped by 10.58% to $33.9 million in 2015, then tumbled by 35.61% to $21.9 million in 2016, then retreated by 4.55% to $20.9 million in 2017, then advanced by 3.56% to $21.6 million in 2018.
- Per Business Quant data, the three most recent Pension figures were $21.6 million in Q3 2018, $21.4 million in Q2 2018, and $20.9 million in Q1 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 21.61 Mn |
| Jun 30, 2018 | 21.36 Mn |
| Mar 31, 2018 | 20.94 Mn |
| Dec 31, 2017 | 20.87 Mn |
| Sep 30, 2017 | 22.93 Mn |
| Jun 30, 2017 | 22.63 Mn |
| Mar 31, 2017 | 22.27 Mn |
| Dec 31, 2016 | 21.86 Mn |
| Sep 30, 2016 | 35.27 Mn |
| Jun 30, 2016 | 34.83 Mn |
| Mar 31, 2016 | 33.81 Mn |
| Dec 31, 2015 | 33.95 Mn |
| Sep 30, 2015 | 38.51 Mn |
| Jun 30, 2015 | 38.33 Mn |
| Mar 31, 2015 | 37.27 Mn |
| Dec 31, 2014 | 37.96 Mn |
| Sep 30, 2014 | 34.61 Mn |
| Jun 30, 2014 | 35.18 Mn |
| Mar 31, 2014 | 35.71 Mn |
| Dec 31, 2013 | 36.22 Mn |
Graham Holdings Pension 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=pension&ticker=GHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=GHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();