Pitney Bowes (PBI) Long-Term Debt Repayments (2009 - 2026)
Pitney Bowes' Long-Term Debt Repayments came in at $352.54 million for Q2 2026, compared with $17.26 million a year earlier.
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Analysis
Pitney Bowes (PBI) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pitney Bowes reported Long-Term Debt Repayments of $485.95 million, down 51.9% year-over-year; for FY2025, it was $934.32 million, up 299.4% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $233.93 million in FY2024 (-27.6%), $322.89 million in FY2023 (+160.2%), $124.1 million in FY2022 (-91.4%) and $1.45 billion in FY2021 (+30.8%).
- The Q2 2026 figure represents the highest quarterly Long-Term Debt Repayments since Q1 2025.
- Year-over-year, Long-Term Debt Repayments increased in two of the last five quarters, with an average decline of 40.1%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q2 2023 (growth of 268.5%), and the weakest in Q1 2026 (a decline of 99.6%).
- Business Quant data shows PBI's Long-Term Debt Repayments at $3.54 million (Q1 2026), $114.05 million (Q4 2025) and $15.82 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.71 Bn | 133.12 Bn | 6.13 Bn | - |
| 2 | Cintas | 89.51 Bn | 88.59 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 32.96 Bn | 32.48 Bn | 1.07 Bn | 6.75 Bn |
| 4 | Rollins | 16.86 Bn | 16.41 Bn | 582.90 Mn | - |
| 5 | APi | 16.77 Bn | 13.80 Bn | 703.00 Mn | 302.00 Mn |
| 6 | UL Solutions | 14.87 Bn | 13.66 Bn | 417.00 Mn | 57.00 Mn |
| 7 | Gartner | 14.80 Bn | 8.50 Bn | 1.19 Bn | - |
| 8 | Aramark | 13.84 Bn | 11.86 Bn | 430.34 Mn | 11.63 Mn |
| 9 | Rentokil Initial | 11.56 Bn | 5.07 Bn | - | - |
| 10 | Pitney Bowes | 2.40 Bn | 1.18 Bn | 254.70 Mn | 358.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 358.19 Mn |
| Mar 31, 2026 | 3.54 Mn |
| Dec 31, 2025 | 102.20 Mn |
| Sep 30, 2025 | 24.35 Mn |
| Jun 30, 2025 | 17.26 Mn |
| Mar 31, 2025 | 807.79 Mn |
| Dec 31, 2024 | 200.28 Mn |
| Sep 30, 2024 | 19.07 Mn |
| Jun 30, 2024 | 14.13 Mn |
| Mar 31, 2024 | 14.13 Mn |
| Dec 31, 2023 | 14.13 Mn |
| Sep 30, 2023 | 261.02 Mn |
| Jun 30, 2023 | 27.25 Mn |
| Mar 31, 2023 | 31.02 Mn |
| Dec 31, 2022 | 14.91 Mn |
| Sep 30, 2022 | 6.19 Mn |
| Jun 30, 2022 | 6.18 Mn |
| Mar 31, 2022 | 105.35 Mn |
| Dec 31, 2021 | 16.76 Mn |
| Sep 30, 2021 | 93.23 Mn |
API Access
Pitney Bowes Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();