Pitney Bowes (PBI) Price to Earnings (2009 - 2026)
Pitney Bowes' (PBI) Price to Earnings stood at 12.82 in Q2 2026, up 43.4% from the prior quarter.
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Analysis
Pitney Bowes (PBI) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2025, Pitney Bowes' Price to Earnings came in at 10.95.
- Across earlier years, Price to Earnings came in at 17.92 in FY2022.
- Quarterly Price to Earnings has ranged from 8.94 in Q1 2026 to 81.51 in Q1 2023 over the past five years.
- Per Business Quant, the preceding three quarters came in at 8.94 (Q1 2026), 10.95 (Q4 2025) and 22.95 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - |
| 10 | Pitney Bowes | 2.30 Bn | 1.07 Bn | 254.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.82 |
| Mar 31, 2026 | 8.94 |
| Dec 31, 2025 | 10.95 |
| Sep 30, 2025 | 22.95 |
| Mar 31, 2023 | 81.51 |
| Dec 31, 2022 | 17.92 |
| Sep 30, 2022 | 12.71 |
| Jun 30, 2022 | 17.74 |
| Mar 31, 2022 | 17.68 |
| Sep 30, 2021 | 71.93 |
| Jun 30, 2021 | 77.40 |
| Dec 31, 2019 | 3.54 |
| Sep 30, 2019 | 11.50 |
| Jun 30, 2019 | 4.83 |
| Mar 31, 2019 | 6.93 |
| Dec 31, 2018 | 4.60 |
| Sep 30, 2018 | 4.71 |
| Jun 30, 2018 | 6.22 |
| Mar 31, 2018 | 7.97 |
| Dec 31, 2017 | 7.99 |
API Access
Pitney Bowes Price to Earnings 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=price-to-earnings&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();