Pitney Bowes (PBI) Other Operating Expenses (2009 - 2026)
Pitney Bowes (PBI) reported Other Operating Expenses of $245.36 million for Q3 2026, up 6.3% from $230.83 million a year earlier but down 3.4% from the prior quarter.
Pitney Bowes (PBI) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Pitney Bowes' Other Operating Expenses came in at $1 billion, down 12.0% year-over-year; for FY2025, it was $958.11 million, down 24.8% from FY2024.
- Other Operating Expenses has a five-year compound annual growth rate of -15.4% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $1.27 billion in FY2024 (+19.5%), $1.07 billion in FY2023 (-24.0%), $1.4 billion in FY2022 (-41.2%) and $2.39 billion in FY2021 (+7.9%).
- Five-year quarterly Other Operating Expenses spans a low of -$452.24 million in Q4 2022 and a high of $660.46 million in Q4 2021.
- Year over year, Other Operating Expenses gained in three of the last eight quarters, with growth averaging 20.7%.
- The high point for year-over-year Other Operating Expenses in five years was Q4 2024 (growth of 223.3%); the low point was Q3 2023 (a decline of 55.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $253.92 million (Q2 2026), $258.45 million (Q1 2026) and $242.77 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn |
| 10 | Pitney Bowes | 2.13 Bn | 955.79 Mn | 259.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -3.16 Mn |
| Jun 30, 2026 | 483,000.00 |
| Dec 31, 2025 | 10.20 Mn |
| Sep 30, 2025 | -981,000.00 |
| Jun 30, 2025 | -6.58 Mn |
| Mar 31, 2025 | 24.19 Mn |
| Dec 31, 2024 | 38.44 Mn |
| Sep 30, 2024 | 50.29 Mn |
| Jun 30, 2023 | -228,000.00 |
| Mar 31, 2023 | -2.84 Mn |
| Dec 31, 2022 | 3.23 Mn |
| Sep 30, 2022 | -8.40 Mn |
| Mar 31, 2022 | -11.90 Mn |
| Dec 31, 2021 | 633,000.00 |
| Sep 30, 2021 | 3.19 Mn |
| Jun 30, 2021 | -13.65 Mn |
| Mar 31, 2021 | 51.39 Mn |
| Dec 31, 2020 | -1.64 Mn |
| Sep 30, 2020 | -6.33 Mn |
| Jun 30, 2020 | -17.38 Mn |
Pitney Bowes Other Operating Expenses 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=other-operating-expenses&ticker=PBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();