Pitney Bowes (PBI) EBITDA Margin (2009 - 2026)
Pitney Bowes' EBITDA Margin came in at -23.84% for Q2 2026, up 4.46 percentage points from -28.29% a year earlier but down 3.16 percentage points from the prior quarter.
Pitney Bowes (PBI) EBITDA Margin (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pitney Bowes reported EBITDA Margin of -23.96%, up 15.31 percentage points year-over-year; for FY2025, it came in at -26.59%, up 17.93 percentage points from FY2024.
- EBITDA Margin carries a five-year change of +41.71 percentage points (FY2020 to FY2025).
- Going back by year, EBITDA Margin was -44.51% in FY2024 (+2.60 pp), -47.12% in FY2023 (-5.64 pp), -41.48% in FY2022 (+23.75 pp) and -65.23% in FY2021 (+3.07 pp).
- The five-year range for quarterly EBITDA Margin is -128.21% (Q2 2023) to -20.68% (Q1 2026).
- Year-over-year, EBITDA Margin has increased for seven consecutive quarters, with an average year-over-year change of +10.07 percentage points over the last eight quarters.
- The fastest year-over-year change in EBITDA Margin over five years came in Q2 2024 (a gain of 83.56 percentage points), and the weakest in Q2 2023 (a drop of 70.20 percentage points).
- Business Quant data shows PBI's EBITDA Margin at -20.68% (Q1 2026), -28.39% (Q4 2025) and -22.87% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 20.09% |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 27.67% |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 32.67% |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 11.71% |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 21.79% |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 6.95% |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 24.02% |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 25.28% |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Pitney Bowes | 2.24 Bn | 1.01 Bn | 254.70 Mn | -23.84% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -23.84% |
| Mar 31, 2026 | -20.68% |
| Dec 31, 2025 | -28.39% |
| Sep 30, 2025 | -22.87% |
| Jun 30, 2025 | -28.29% |
| Mar 31, 2025 | -26.70% |
| Dec 31, 2024 | -50.01% |
| Sep 30, 2024 | -50.72% |
| Jun 30, 2024 | -44.64% |
| Mar 31, 2024 | -33.01% |
| Dec 31, 2023 | -55.64% |
| Sep 30, 2023 | -43.01% |
| Jun 30, 2023 | -128.21% |
| Mar 31, 2023 | -99.03% |
| Sep 30, 2022 | -62.26% |
| Jun 30, 2022 | -58.00% |
| Mar 31, 2022 | -54.13% |
| Dec 31, 2021 | -68.00% |
| Sep 30, 2021 | -63.15% |
| Jun 30, 2021 | -60.58% |
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();