Pitney Bowes (PBI) Dividend Coverage Ratio (2009 - 2026)
Pitney Bowes' (PBI) Dividend Coverage Ratio stood at 3.68 in Q2 2026, up 54.9% from 2.37 a year earlier but down 15.8% from the prior quarter.
Pitney Bowes (PBI) Dividend Coverage Ratio (2009 - 2026) Analysis & Trends
On a TTM basis, Pitney Bowes' Dividend Coverage Ratio came in at 3.45 as of Jun 30, 2026; for FY2025, it came in at 2.83.
- Across earlier years, Dividend Coverage Ratio came in at -5.66 in FY2024, -10.95 in FY2023, 1.06 in FY2022 and -0.04 in FY2021.
- Quarterly Dividend Coverage Ratio has ranged from -25.19 in Q4 2023 to 4.37 in Q1 2026 over the past five years.
- Per Business Quant, the preceding three quarters came in at 4.37 (Q1 2026), 1.93 (Q4 2025) and 3.91 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 2.35 |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 2.83 |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 0.39 |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | - |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 1.63 |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 3.09 |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 8.48 |
| 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 | 3.68 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.68 |
| Mar 31, 2026 | 4.37 |
| Dec 31, 2025 | 1.93 |
| Sep 30, 2025 | 3.91 |
| Jun 30, 2025 | 2.37 |
| Mar 31, 2025 | 3.23 |
| Dec 31, 2024 | -4.10 |
| Sep 30, 2024 | -15.28 |
| Jun 30, 2024 | -2.78 |
| Mar 31, 2024 | -0.33 |
| Dec 31, 2023 | -25.19 |
| Sep 30, 2023 | -1.42 |
| Jun 30, 2023 | -16.08 |
| Mar 31, 2023 | -0.89 |
| Dec 31, 2022 | 0.72 |
| Sep 30, 2022 | 0.63 |
| Jun 30, 2022 | 0.50 |
| Mar 31, 2022 | 2.40 |
| Dec 31, 2021 | 0.14 |
| Sep 30, 2021 | 1.04 |
Pitney Bowes Dividend Coverage Ratio 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=dividend-coverage-ratio&ticker=PBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-coverage-ratio", "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=dividend-coverage-ratio&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();