Geo (GEO) Gross Margin (2009 - 2011)
Geo (GEO) recorded Gross Margin of 12.48% in Q1 2012, down 8.81 percentage points from 21.29% a year earlier and down 12.55 percentage points from the prior quarter.
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Analysis
Geo (GEO) Gross Margin (2009 - 2011) Analysis & Trends
On a TTM basis, Geo's Gross Margin came in at 20.87% as of Apr 3, 2011, down 0.36 percentage points year-over-year; for FY2011, it came in at 10.10%, down 11.28 percentage points from FY2010.
- Across earlier years, Gross Margin came in at 21.38% in FY2010.
- The Q1 2012 figure is the lowest quarterly Gross Margin in data going back to Q2 2010.
- On a year-over-year basis, Gross Margin rose in three of the last four quarters, with an average year-over-year change of -0.34 percentage points.
- Per Business Quant, the preceding three quarters came in at 25.03% (Q4 2011), 23.43% (Q3 2011) and 22.55% (Q2 2011).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.71 Bn | 133.12 Bn | 6.13 Bn | 32.77% |
| 2 | Cintas | 89.51 Bn | 88.59 Bn | 1.55 Bn | 51.54% |
| 3 | Iron Mountain | 32.96 Bn | 32.48 Bn | 1.07 Bn | 52.76% |
| 4 | Rollins | 16.86 Bn | 16.41 Bn | 582.90 Mn | 53.49% |
| 5 | APi | 16.77 Bn | 13.80 Bn | 703.00 Mn | 31.19% |
| 6 | UL Solutions | 14.87 Bn | 13.66 Bn | 417.00 Mn | 51.10% |
| 7 | Gartner | 14.80 Bn | 8.50 Bn | 1.19 Bn | 70.95% |
| 8 | Aramark | 13.84 Bn | 11.86 Bn | 430.34 Mn | 8.51% |
| 9 | Rentokil Initial | 11.56 Bn | 5.07 Bn | - | - |
| 10 | Geo | 3.56 Bn | 3.17 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 3, 2011 | 12.48% |
| Jan 2, 2011 | 25.03% |
| Oct 3, 2010 | 23.43% |
| Jul 4, 2010 | 22.55% |
| Apr 4, 2010 | 21.29% |
| Jan 3, 2010 | 22.23% |
| Sep 27, 2009 | 20.52% |
| Jun 28, 2009 | 20.81% |
API Access
Geo Gross Margin 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=gross-margin&ticker=GEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "ticker": "GEO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=gross-margin&ticker=GEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();