Pitney Bowes (PBI) Revenue (2009 - 2026)
Pitney Bowes (PBI) reported Revenue of $451.5 million for Q2 2026, down 2.3% from $461.91 million a year earlier and down 5.4% from the prior quarter.
Pitney Bowes (PBI) Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Pitney Bowes' Revenue came in at $1.87 billion, down 5.3% year-over-year; for FY2025, it came in at $1.89 billion, down 6.6% from FY2024.
- Revenue has declined for four consecutive years, with a five-year compound annual growth rate of -11.8% (FY2020 to FY2025).
- By year, Revenue came in at $2.03 billion in FY2024 (-2.5%), $2.08 billion in FY2023 (-16.3%), $2.48 billion in FY2022 (-32.4%) and $3.67 billion in FY2021 (+3.4%).
- The Q2 2026 figure ranks as the lowest quarterly Revenue since Q4 2022.
- Year over year, Revenue has now declined in each of the last ten quarters, with an average decline of 4.3% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q1 2022 (growth of 1.3%); the low point was Q2 2023 (a decline of 42.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $477.41 million (Q1 2026), $477.63 million (Q4 2025) and $459.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 18.72 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 2.91 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 2.03 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 2.25 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 1.08 Bn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 5.06 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 816.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 1.68 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Pitney Bowes | 2.24 Bn | 1.01 Bn | 254.70 Mn | 451.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 451.50 Mn |
| Mar 31, 2026 | 477.41 Mn |
| Dec 31, 2025 | 477.63 Mn |
| Sep 30, 2025 | 459.68 Mn |
| Jun 30, 2025 | 461.91 Mn |
| Mar 31, 2025 | 493.42 Mn |
| Dec 31, 2024 | 516.12 Mn |
| Sep 30, 2024 | 499.46 Mn |
| Jun 30, 2024 | 489.75 Mn |
| Mar 31, 2024 | 521.27 Mn |
| Dec 31, 2023 | 526.42 Mn |
| Sep 30, 2023 | 503.03 Mn |
| Jun 30, 2023 | 500.83 Mn |
| Mar 31, 2023 | 548.65 Mn |
| Dec 31, 2022 | -146.47 Mn |
| Sep 30, 2022 | 830.91 Mn |
| Jun 30, 2022 | 871.50 Mn |
| Mar 31, 2022 | 926.94 Mn |
| Dec 31, 2021 | 983.71 Mn |
| Sep 30, 2021 | 875.45 Mn |
Pitney Bowes Revenue 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=revenue&ticker=PBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();