Pitney Bowes (PBI) Acquisitions (2010 - 2025)
Pitney Bowes (PBI) reported Acquisitions of $2.2 million for FY2025.
Analysis
Pitney Bowes (PBI) Acquisitions (2010 - 2025) Analysis & Trends
Dating back to FY2010, Pitney Bowes' Acquisitions record includes 10 years.
- Acquisitions has a five-year compound annual growth rate of -19.7% (FY2020 to FY2025).
- The FY2025 figure ranks as the highest annual Acquisitions since FY2022.
- According to Business Quant data, Acquisitions came in at $5.14 million in FY2022 (-65.7%) and $15 million in FY2021 (+126.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 1.04 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 61.86 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | - |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 527.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 116.77 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 3.45 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 |
|---|---|
| Mar 31, 2025 | 2.20 Mn |
| Dec 31, 2022 | 3.99 Mn |
| Dec 31, 2021 | 15.00 Mn |
| Jun 30, 2020 | 5.33 Mn |
| Mar 31, 2020 | 1.28 Mn |
| Sep 30, 2019 | 17.22 Mn |
| Mar 31, 2019 | 4.88 Mn |
| Dec 31, 2018 | 8.08 Mn |
| Mar 31, 2018 | 2.41 Mn |
| Dec 31, 2017 | 474.96 Mn |
| Mar 31, 2017 | 7.89 Mn |
| Dec 31, 2016 | -100,000.00 |
| Sep 30, 2016 | 24.53 Mn |
| Jun 30, 2016 | 46,000.00 |
| Mar 31, 2016 | 13.37 Mn |
| Dec 31, 2015 | 6.30 Mn |
| Dec 31, 2010 | -153.04 Mn |
| Sep 30, 2010 | 65.15 Mn |
| Jun 30, 2010 | 10.35 Mn |
API Access
Pitney Bowes Acquisitions 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=acquisitions&ticker=PBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();