Pitney Bowes (PBI) Shares Outstanding (Entity) (2009 - 2026)
Pitney Bowes' Shares Outstanding (Entity) was 137.09 million in Q2 2026, down 20.4% from 172.12 million a year earlier but up 1.2% from the prior quarter.
Pitney Bowes (PBI) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Entity) at Pitney Bowes came in at 149.94 million, down 18.0% from FY2024.
- Shares Outstanding (Entity) shows a five-year compound annual growth rate of -2.9% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Entity) was 182.79 million in FY2024 (+3.5%), 176.53 million in FY2023 (+1.3%), 174.18 million in FY2022 (-0.4%) and 174.86 million in FY2021 (+0.9%).
- Quarterly Shares Outstanding (Entity) has moved between 135.44 million (Q1 2026) and 182.79 million (Q4 2024) over five years.
- Compared with a year earlier, Shares Outstanding (Entity) has declined for five straight quarters, with an average decline of 8.9% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Entity) over five years was Q4 2024 (growth of 3.5%); the worst was Q1 2026 (a decline of 25.3%).
- Per Business Quant data, PBI's Shares Outstanding (Entity) in the three quarters before Q2 2026 was 135.44 million (Q1 2026), 149.94 million (Q4 2025) and 160.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 667.51 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 400.15 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 297.66 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 432.16 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 481.12 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 263.56 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 202.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 63.15 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Pitney Bowes | 2.24 Bn | 1.01 Bn | 254.70 Mn | 137.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 137.09 Mn |
| Mar 31, 2026 | 135.44 Mn |
| Dec 31, 2025 | 149.94 Mn |
| Sep 30, 2025 | 160.92 Mn |
| Jun 30, 2025 | 172.12 Mn |
| Mar 31, 2025 | 181.25 Mn |
| Dec 31, 2024 | 182.79 Mn |
| Sep 30, 2024 | 181.70 Mn |
| Jun 30, 2024 | 179.51 Mn |
| Mar 31, 2024 | 178.88 Mn |
| Dec 31, 2023 | 176.53 Mn |
| Sep 30, 2023 | 176.33 Mn |
| Jun 30, 2023 | 176.03 Mn |
| Mar 31, 2023 | 175.63 Mn |
| Dec 31, 2022 | 174.18 Mn |
| Sep 30, 2022 | 174.00 Mn |
| Jun 30, 2022 | 173.88 Mn |
| Mar 31, 2022 | 173.43 Mn |
| Dec 31, 2021 | 174.86 Mn |
| Sep 30, 2021 | 176.06 Mn |
Pitney Bowes Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=PBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();