Pitney Bowes (PBI) EBITDA Margin (2009 - 2026)
Pitney Bowes' EBITDA Margin came in at 23.28% for Q3 2026, down 1.08 percentage points from 24.36% a year earlier but up 0.33 percentage points from the prior quarter.
Pitney Bowes (PBI) EBITDA Margin (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Pitney Bowes reported EBITDA Margin of 22.10%, up 7.35 percentage points year-over-year; for FY2025, it came in at 19.70%, up 10.56 percentage points from FY2024.
- EBITDA Margin carries a five-year change of +10.44 percentage points (FY2020 to FY2025).
- Going back by year, EBITDA Margin was 9.14% in FY2024 (+0.56 pp), 8.58% in FY2023 (-7.37 pp), 15.94% in FY2022 (+2.02 pp) and 13.92% in FY2021 (+4.66 pp).
- The five-year range for quarterly EBITDA Margin is -127.75% (Q2 2023) to 25.32% (Q1 2026).
- Year-over-year, EBITDA Margin increased in six of the last eight quarters, with an average year-over-year change of +7.44 percentage points.
- The fastest year-over-year change in EBITDA Margin over five years came in Q2 2024 (a gain of 138.47 percentage points), and the weakest in Q2 2023 (a drop of 142.33 percentage points).
- Business Quant data shows PBI's EBITDA Margin at 22.95% (Q2 2026), 25.32% (Q1 2026) and 16.96% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 18.56% |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 27.84% |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 35.75% |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 23.51% |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 11.98% |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 25.64% |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 6.95% |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 21.76% |
| 10 | Pitney Bowes | 2.13 Bn | 955.79 Mn | 259.05 Mn | 28.98% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 28.98% |
| Jun 30, 2026 | 29.28% |
| Mar 31, 2026 | 30.76% |
| Dec 31, 2025 | 22.44% |
| Sep 30, 2025 | 30.03% |
| Jun 30, 2025 | 23.83% |
| Mar 31, 2025 | 15.65% |
| Dec 31, 2024 | 2.06% |
| Sep 30, 2024 | 3.15% |
| Jun 30, 2024 | 10.72% |
| Mar 31, 2024 | 15.75% |
| Dec 31, 2023 | -0.62% |
| Sep 30, 2023 | 12.17% |
| Jun 30, 2023 | -127.75% |
| Mar 31, 2023 | -98.64% |
| Sep 30, 2022 | 10.90% |
| Jun 30, 2022 | 14.59% |
| Mar 31, 2022 | 16.66% |
| Dec 31, 2021 | 13.62% |
| Sep 30, 2021 | 15.64% |
Pitney Bowes EBITDA Margin 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=ebitda-margin&ticker=PBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();