Pitney Bowes (PBI) Dividends Paid - Common (2009 - 2026)
Pitney Bowes' Dividends Paid - Common came in at $13.57 million for Q2 2026, up 7.5% from $12.63 million a year earlier and up 1.9% from the prior quarter.
Pitney Bowes (PBI) Dividends Paid - Common (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pitney Bowes reported Dividends Paid - Common of $54.34 million, up 30.1% year-over-year; for FY2025, it came in at $51.06 million, up 42.0% from FY2024.
- Dividends Paid - Common has increased in each of the last three years, with a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- Going back by year, Dividends Paid - Common was $35.96 million in FY2024 (+2.1%), $35.22 million in FY2023 (+1.4%), $34.72 million in FY2022 (-0.2%) and $34.8 million in FY2021 (+1.5%).
- The five-year range for quarterly Dividends Paid - Common is $8.63 million (Q2 2022) to $14.15 million (Q4 2025).
- Year-over-year, Dividends Paid - Common has increased for 14 consecutive quarters, with growth averaging 25.2% over the last eight quarters.
- The fastest year-over-year change in Dividends Paid - Common over five years came in Q4 2025 (growth of 55.4%), and the weakest in Q2 2022 (a decline of 0.9%).
- Business Quant data shows PBI's Dividends Paid - Common at $13.32 million (Q1 2026), $14.15 million (Q4 2025) and $13.3 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Paid (Common) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 995.33 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 180.64 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 257.15 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | - |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 88.09 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 31.61 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 29.00 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 | 13.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.57 Mn |
| Mar 31, 2026 | 13.32 Mn |
| Dec 31, 2025 | 14.15 Mn |
| Sep 30, 2025 | 13.30 Mn |
| Jun 30, 2025 | 12.63 Mn |
| Mar 31, 2025 | 10.98 Mn |
| Dec 31, 2024 | 9.11 Mn |
| Sep 30, 2024 | 9.06 Mn |
| Jun 30, 2024 | 8.95 Mn |
| Mar 31, 2024 | 8.83 Mn |
| Dec 31, 2023 | 8.89 Mn |
| Sep 30, 2023 | 8.81 Mn |
| Jun 30, 2023 | 8.80 Mn |
| Mar 31, 2023 | 8.73 Mn |
| Dec 31, 2022 | 8.71 Mn |
| Sep 30, 2022 | 8.70 Mn |
| Jun 30, 2022 | 8.63 Mn |
| Mar 31, 2022 | 8.69 Mn |
| Dec 31, 2021 | 8.75 Mn |
| Sep 30, 2021 | 8.73 Mn |
Pitney Bowes Dividends Paid - Common 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=dividends-paid-common&ticker=PBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common", "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=dividends-paid-common&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();