Pitney Bowes (PBI) Enterprise Value (2009 - 2026)
Pitney Bowes (PBI) reported Enterprise Value of $2.12 billion for Q2 2026, up 34.6% from $1.58 billion a year earlier and up 79.5% from the prior quarter.
Powered by 
Analysis
Pitney Bowes (PBI) Enterprise Value (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Pitney Bowes' Enterprise Value came in at $1.18 billion, up 570.0% year-over-year; for FY2025, it came in at $1.29 billion, up 53.8% from FY2024.
- Enterprise Value has a five-year compound annual growth rate of 58.9% (FY2020 to FY2025).
- By year, Enterprise Value came in at $837.28 million in FY2024 (+441.9%), $154.51 million in FY2023, -$17.6 million in FY2022 and $412.37 million in FY2021 (+224.8%).
- The Q2 2026 figure ranks as the highest quarterly Enterprise Value since Q3 2016.
- Year over year, Enterprise Value gained in six of the last seven quarters, with growth averaging 215.0%.
- The high point for year-over-year Enterprise Value in five years was Q1 2025 (growth of 449.7%); the low point was Q2 2022 (a decline of 93.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.18 billion (Q1 2026), $1.29 billion (Q4 2025) and $1.5 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.12 Bn |
| Mar 31, 2026 | 1.18 Bn |
| Dec 31, 2025 | 1.29 Bn |
| Sep 30, 2025 | 1.50 Bn |
| Jun 30, 2025 | 1.58 Bn |
| Mar 31, 2025 | 1.30 Bn |
| Dec 31, 2024 | 837.28 Mn |
| Sep 30, 2024 | 720.02 Mn |
| Jun 30, 2024 | 299.91 Mn |
| Mar 31, 2024 | 236.58 Mn |
| Dec 31, 2023 | 154.51 Mn |
| Sep 30, 2023 | -46.91 Mn |
| Jun 30, 2023 | 62.46 Mn |
| Mar 31, 2023 | 155.81 Mn |
| Dec 31, 2022 | -17.60 Mn |
| Sep 30, 2022 | -201.23 Mn |
| Jun 30, 2022 | 47.22 Mn |
| Mar 31, 2022 | 267.89 Mn |
| Dec 31, 2021 | 412.37 Mn |
| Sep 30, 2021 | 526.22 Mn |
API Access
Pitney Bowes Enterprise Value 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=enterprise-value&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();