Pitney Bowes (PBI) Accounts Payables (2009 - 2026)
Pitney Bowes (PBI) posted Accounts Payables of $743.25 million for Q2 2026, up 0.1% from $742.8 million a year earlier but down 3.1% from the prior quarter.
Pitney Bowes (PBI) Accounts Payables (2009 - 2026) Analysis & Trends
At the end of FY2025, Pitney Bowes' Accounts Payables came in at $845.38 million, down 3.2% from FY2024.
- Annual Accounts Payables shows a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In prior years, Pitney Bowes' Accounts Payables was $873.63 million in FY2024 (+5.3%), $829.42 million in FY2023 (-8.6%), $907.08 million in FY2022 (-1.7%) and $922.54 million in FY2021 (+4.8%).
- Quarterly Accounts Payables has run from a low of $698.69 million in Q3 2025 to a high of $922.54 million in Q4 2021 over five years.
- On a year-over-year basis, Accounts Payables increased in four of the last eight quarters, with an average decline of 2.8%.
- The strongest year-over-year quarter for Accounts Payables in the past five years was Q3 2021, with growth of 14.7%; the weakest was Q3 2025, with a decline of 18.0%.
- According to Business Quant data, Accounts Payables for the three prior quarters was $766.99 million (Q1 2026), $845.38 million (Q4 2025) and $698.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 3.18 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 461.16 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 857.18 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 554.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 79.76 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 1.14 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 179.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 907.10 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | -1.47 Bn |
| 10 | Pitney Bowes | 2.24 Bn | 1.01 Bn | 254.70 Mn | 743.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 743.25 Mn |
| Mar 31, 2026 | 766.99 Mn |
| Dec 31, 2025 | 845.38 Mn |
| Sep 30, 2025 | 698.69 Mn |
| Jun 30, 2025 | 742.80 Mn |
| Mar 31, 2025 | 743.85 Mn |
| Dec 31, 2024 | 873.63 Mn |
| Sep 30, 2024 | 852.57 Mn |
| Jun 30, 2024 | 843.15 Mn |
| Mar 31, 2024 | 784.02 Mn |
| Dec 31, 2023 | 829.42 Mn |
| Sep 30, 2023 | 793.61 Mn |
| Jun 30, 2023 | 812.47 Mn |
| Mar 31, 2023 | 800.05 Mn |
| Dec 31, 2022 | 907.08 Mn |
| Sep 30, 2022 | 766.17 Mn |
| Jun 30, 2022 | 827.64 Mn |
| Mar 31, 2022 | 876.65 Mn |
| Dec 31, 2021 | 922.54 Mn |
| Sep 30, 2021 | 871.80 Mn |
Pitney Bowes Accounts Payables 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=accounts-payables&ticker=PBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();