Pitney Bowes (PBI) Shares Outstanding (Diluted) (2009 - 2026)
Pitney Bowes (PBI) recorded Shares Outstanding (Diluted) of 139.04 million in Q2 2026, down 23.2% from 181.01 million a year earlier and down 5.9% from the prior quarter.
Pitney Bowes (PBI) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Pitney Bowes reported Shares Outstanding (Diluted) of 173.04 million, down 5.2% from FY2024.
- Annual Shares Outstanding (Diluted) has a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 182.53 million in FY2024 (+3.9%), 175.64 million in FY2023 (-0.9%), 177.25 million in FY2022 (-1.0%) and 179.11 million in FY2021 (+4.4%).
- The Q2 2026 figure is the lowest quarterly Shares Outstanding (Diluted) in data going back to Q1 2009.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined for four consecutive quarters, with an average decline of 5.2% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 4.4% in Q4 2021, against a decline of 23.2% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 147.74 million (Q1 2026), 173.04 million (Q4 2025) and 170.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 141.87 Bn | 102.28 Bn | 6.13 Bn | 615.59 Mn |
| 2 | Cintas | 78.27 Bn | 77.46 Bn | 1.48 Bn | 406.20 Mn |
| 3 | Iron Mountain | 33.11 Bn | 32.63 Bn | 1.07 Bn | 299.85 Mn |
| 4 | APi | 17.29 Bn | 14.33 Bn | 703.00 Mn | 437.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.27 Bn | 569.95 Mn | 481.39 Mn |
| 6 | Aramark | 14.39 Bn | 12.40 Bn | 430.34 Mn | 268.54 Mn |
| 7 | UL Solutions | 13.43 Bn | 12.22 Bn | 417.00 Mn | 204.00 Mn |
| 8 | Gartner | 12.17 Bn | 5.86 Bn | 1.19 Bn | 66.58 Mn |
| 9 | Rentokil Initial | 10.01 Bn | 3.35 Bn | - | 507.00 Mn |
| 10 | Pitney Bowes | 2.28 Bn | 1.05 Bn | 254.70 Mn | 139.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 139.04 Mn |
| Mar 31, 2026 | 147.74 Mn |
| Dec 31, 2025 | 173.04 Mn |
| Sep 30, 2025 | 170.37 Mn |
| Jun 30, 2025 | 181.01 Mn |
| Mar 31, 2025 | 184.77 Mn |
| Dec 31, 2024 | 182.53 Mn |
| Sep 30, 2024 | 183.84 Mn |
| Jun 30, 2024 | 178.70 Mn |
| Mar 31, 2024 | 177.00 Mn |
| Dec 31, 2023 | 175.64 Mn |
| Sep 30, 2023 | 176.10 Mn |
| Jun 30, 2023 | 175.70 Mn |
| Mar 31, 2023 | 174.63 Mn |
| Dec 31, 2022 | 177.25 Mn |
| Sep 30, 2022 | 176.97 Mn |
| Jun 30, 2022 | 176.97 Mn |
| Mar 31, 2022 | 178.03 Mn |
| Dec 31, 2021 | 179.11 Mn |
| Sep 30, 2021 | 179.41 Mn |
Pitney Bowes Shares Outstanding (Diluted) 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-diluted&ticker=PBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();