Pitney Bowes (PBI) Cash from Operations (2009 - 2026)
Pitney Bowes (PBI) recorded Cash from Operations of $152.92 million in Q2 2026, up 37.3% from $111.39 million a year earlier and up 246.3% from the prior quarter.
Pitney Bowes (PBI) Cash from Operations (2009 - 2026) Analysis & Trends
On a TTM basis, Pitney Bowes' Cash from Operations came in at $485.62 million as of Jun 30, 2026, up 66.8% year-over-year; for FY2025, it came in at $383.26 million, up 38.6% from FY2024.
- Annual Cash from Operations has a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- Across earlier years, Cash from Operations came in at $276.45 million in FY2024 (+17.8%), $234.6 million in FY2023 (-31.2%), $340.75 million in FY2022 (+13.0%) and $301.52 million in FY2021 (-11.3%).
- Quarterly Cash from Operations has ranged from -$39.71 million in Q1 2023 to $331.52 million in Q4 2022 over the past five years.
- On a year-over-year basis, Cash from Operations rose in four of the last six quarters, with growth averaging 11.4%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 288.5% in Q4 2022, against a decline of 84.0% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $44.16 million (Q1 2026), $221.7 million (Q4 2025) and $66.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 3.79 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 709.10 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 549.26 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 83.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 172.51 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 117.19 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 160.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 398.29 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Pitney Bowes | 2.24 Bn | 1.01 Bn | 254.70 Mn | 152.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 152.92 Mn |
| Mar 31, 2026 | 44.16 Mn |
| Dec 31, 2025 | 221.70 Mn |
| Sep 30, 2025 | 66.85 Mn |
| Jun 30, 2025 | 111.39 Mn |
| Mar 31, 2025 | -16.68 Mn |
| Dec 31, 2024 | 131.84 Mn |
| Sep 30, 2024 | 64.67 Mn |
| Jun 30, 2024 | 92.55 Mn |
| Mar 31, 2024 | -12.61 Mn |
| Dec 31, 2023 | 162.71 Mn |
| Sep 30, 2023 | 111.64 Mn |
| Jun 30, 2023 | -44,000.00 |
| Mar 31, 2023 | -39.71 Mn |
| Dec 31, 2022 | 331.52 Mn |
| Sep 30, 2022 | -36.47 Mn |
| Jun 30, 2022 | 35.13 Mn |
| Mar 31, 2022 | 10.56 Mn |
| Dec 31, 2021 | 85.34 Mn |
| Sep 30, 2021 | 71.45 Mn |
Pitney Bowes Cash from Operations 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=cash-from-operations&ticker=PBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();