Pitney Bowes (PBI) Interest Expenses (2009 - 2026)
Pitney Bowes (PBI) posted Interest Expenses of $12.42 million for Q2 2026, down 20.6% from $15.66 million a year earlier and down 2.9% from the prior quarter.
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Analysis
Pitney Bowes (PBI) Interest Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Pitney Bowes was $53.56 million, down 23.7% year-over-year; for FY2025, it was $61.5 million, down 44.1% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of -29.0% (FY2020 to FY2025).
- In prior years, Pitney Bowes' Interest Expenses was $110.09 million in FY2024 (+11.5%), $98.77 million in FY2023 (+13.1%), $87.31 million in FY2022 (-75.0%) and $348.8 million in FY2021 (+2.3%).
- The Q2 2026 figure stands as the lowest quarterly Interest Expenses since Q1 2024.
- On a year-over-year basis, Interest Expenses increased in 1 of the last six quarters, with an average decline of 26.9%.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q2 2024, with growth of 25.5%; the weakest was Q2 2023, with a decline of 73.0%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $12.8 million (Q1 2026), $13.63 million (Q4 2025) and $14.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 25.84 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | - |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 9.39 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 5.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 22.27 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Pitney Bowes | 2.24 Bn | 1.01 Bn | 254.70 Mn | 12.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Dec 31, 2024 | 26.77 Mn |
| Sep 30, 2024 | 27.76 Mn |
| Jun 30, 2024 | 28.77 Mn |
| Mar 31, 2024 | -2.59 Mn |
| Dec 31, 2023 | 27.95 Mn |
| Sep 30, 2023 | 26.36 Mn |
| Jun 30, 2023 | 22.92 Mn |
| Mar 31, 2023 | 36.88 Mn |
| Dec 31, 2022 | 37.13 Mn |
| Sep 30, 2022 | 37.38 Mn |
| Jun 30, 2022 | 84.82 Mn |
| Mar 31, 2022 | 85.90 Mn |
| Dec 31, 2021 | 89.36 Mn |
| Sep 30, 2021 | 86.53 Mn |
| Jun 30, 2021 | 85.91 Mn |
API Access
Pitney Bowes 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=interest-expenses&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();