Pitney Bowes (PBI) Operating Interest Expenses (2009 - 2026)
Pitney Bowes (PBI) posted Operating Interest Expenses of $11.75 million for Q3 2026, down 20.1% from $14.71 million a year earlier and down 5.5% from the prior quarter.
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Analysis
Pitney Bowes (PBI) Operating Interest Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Operating Interest Expenses at Pitney Bowes was $50.6 million, down 24.6% year-over-year; for FY2025, it was $61.5 million, down 24.1% from FY2024.
- Annual Operating Interest Expenses shows a five-year compound annual growth rate of -23.5% (FY2020 to FY2025).
- In prior years, Pitney Bowes' Operating Interest Expenses was $81.06 million in FY2024 (-2.2%), $82.9 million in FY2023 (+60.1%), $51.79 million in FY2022 (-79.4%) and $251.91 million in FY2021 (+7.1%).
- The Q3 2026 figure stands as the lowest quarterly Operating Interest Expenses since Q3 2019.
- On a year-over-year basis, Operating Interest Expenses has declined in each of the last eight quarters, with an average decline of 26.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Interest Expenses in the past five years was Q4 2023, with growth of 163.5%; the weakest was Q4 2022, with a decline of 78.9%.
- According to Business Quant data, Operating Interest Expenses for the three prior quarters was $12.42 million (Q2 2026), $12.8 million (Q1 2026) and $13.63 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (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 | 11.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.75 Mn |
| Jun 30, 2026 | 12.42 Mn |
| Mar 31, 2026 | 12.80 Mn |
| Dec 31, 2025 | 13.63 Mn |
| Sep 30, 2025 | 14.71 Mn |
| Jun 30, 2025 | 15.66 Mn |
| Mar 31, 2025 | 17.51 Mn |
| Dec 31, 2024 | 19.20 Mn |
| Sep 30, 2024 | 20.17 Mn |
| Jun 30, 2024 | 20.40 Mn |
| Mar 31, 2024 | 21.29 Mn |
| Dec 31, 2023 | 36.78 Mn |
| Sep 30, 2023 | 16.81 Mn |
| Jun 30, 2023 | 14.76 Mn |
| Mar 31, 2023 | 14.54 Mn |
| Dec 31, 2022 | 13.96 Mn |
| Sep 30, 2022 | 13.69 Mn |
| Jun 30, 2022 | 63.82 Mn |
| Mar 31, 2022 | 63.77 Mn |
| Dec 31, 2021 | 66.29 Mn |
API Access
Pitney Bowes Operating Interest 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=operating-interest-expenses&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-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=operating-interest-expenses&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();