Pitney Bowes (PBI) Finished Goods (2009 - 2018)
Pitney Bowes' Finished Goods came in at $16.99 million for Q3 2018, down 48.0% from $32.66 million a year earlier and down 12.7% from the prior quarter.
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Analysis
Pitney Bowes (PBI) Finished Goods (2009 - 2018) Analysis & Trends
At the end of FY2017, Pitney Bowes' Finished Goods was $13.26 million, down 46.3% from FY2016.
- Finished Goods carries a five-year compound annual growth rate of -28.0% (FY2012 to FY2017).
- Going back by year, Finished Goods was $24.68 million in FY2016 and $38.52 million in FY2013 (-43.6%).
- The five-year range for quarterly Finished Goods is $13.26 million (Q4 2017) to $38.52 million (Q4 2013).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - |
| 10 | Pitney Bowes | 2.24 Bn | 1.01 Bn | 254.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 16.99 Mn |
| Jun 30, 2018 | 19.46 Mn |
| Dec 31, 2017 | 13.26 Mn |
| Sep 30, 2017 | 32.66 Mn |
| Dec 31, 2016 | 24.68 Mn |
| Dec 31, 2013 | 38.52 Mn |
| Dec 31, 2012 | 68.34 Mn |
| Dec 31, 2011 | 71.96 Mn |
| Sep 30, 2011 | 64.56 Mn |
| Jun 30, 2011 | 61.87 Mn |
| Mar 31, 2011 | 63.59 Mn |
| Dec 31, 2010 | 58.31 Mn |
| Sep 30, 2010 | 63.83 Mn |
| Dec 31, 2009 | 50.67 Mn |
API Access
Pitney Bowes Finished Goods 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=finished-goods&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "PBI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=finished-goods&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();