Pitney Bowes (PBI) Cash & Equivalents (2009 - 2026)
Pitney Bowes (PBI) posted Cash & Equivalents of $266.83 million for Q2 2026, down 6.4% from $285.18 million a year earlier and down 11.9% from the prior quarter.
Pitney Bowes (PBI) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Pitney Bowes' Cash & Equivalents came in at $284.89 million, down 39.4% from FY2024.
- Annual Cash & Equivalents has declined for six consecutive years, with a five-year compound annual growth rate of -20.9% (FY2020 to FY2025).
- In prior years, Pitney Bowes' Cash & Equivalents was $469.73 million in FY2024 (-21.7%), $600.05 million in FY2023 (-10.2%), $668.33 million in FY2022 (-8.8%) and $732.48 million in FY2021 (-20.5%).
- The Q2 2026 figure stands as the lowest quarterly Cash & Equivalents in data going back to Q1 2009.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last seven quarters, with an average decline of 25.6% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2024, with growth of 8.9%; the weakest was Q2 2025, with a decline of 51.7%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $302.88 million (Q1 2026), $284.89 million (Q4 2025) and $320.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 10.17 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 289.02 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 204.79 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 851.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 499.43 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 109.09 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 434.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 1.49 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | 2.47 Bn |
| 10 | Pitney Bowes | 2.30 Bn | 1.07 Bn | 254.70 Mn | 266.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 266.83 Mn |
| Mar 31, 2026 | 302.88 Mn |
| Dec 31, 2025 | 284.89 Mn |
| Sep 30, 2025 | 320.99 Mn |
| Jun 30, 2025 | 285.18 Mn |
| Mar 31, 2025 | 323.79 Mn |
| Dec 31, 2024 | 469.73 Mn |
| Sep 30, 2024 | 561.54 Mn |
| Jun 30, 2024 | 590.15 Mn |
| Mar 31, 2024 | 516.09 Mn |
| Dec 31, 2023 | 600.05 Mn |
| Sep 30, 2023 | 557.70 Mn |
| Jun 30, 2023 | 541.70 Mn |
| Mar 31, 2023 | 511.76 Mn |
| Dec 31, 2022 | 668.33 Mn |
| Sep 30, 2022 | 596.65 Mn |
| Jun 30, 2022 | 570.70 Mn |
| Mar 31, 2022 | 622.58 Mn |
| Dec 31, 2021 | 732.48 Mn |
| Sep 30, 2021 | 729.15 Mn |
Pitney Bowes Cash & Equivalents 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-and-equivalents&ticker=PBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();