Pitney Bowes (PBI) Total Liabilities (2009 - 2026)
Pitney Bowes' Total Liabilities came in at $3.88 billion for Q2 2026, up 2.8% from $3.78 billion a year earlier but down 3.9% from the prior quarter.
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Analysis
Pitney Bowes (PBI) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Pitney Bowes' Total Liabilities was $3.97 billion, down 0.1% from FY2024.
- Total Liabilities has declined in each of the last eight years, with a five-year compound annual growth rate of -5.1% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $3.98 billion in FY2024 (-14.3%), $4.64 billion in FY2023 (-0.9%), $4.68 billion in FY2022 (-3.4%) and $4.85 billion in FY2021 (-6.0%).
- The five-year range for quarterly Total Liabilities is $3.78 billion (Q2 2025) to $4.91 billion (Q3 2021).
- Year-over-year, Total Liabilities increased in two of the last eight quarters, with an average decline of 6.4%.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2026 (growth of 6.2%), and the weakest in Q2 2025 (a decline of 16.2%).
- Business Quant data shows PBI's Total Liabilities at $4.04 billion (Q1 2026), $3.97 billion (Q4 2025) and $3.92 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 5.39 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 1.93 Bn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 10.58 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 1.50 Bn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Pitney Bowes | 2.24 Bn | 1.01 Bn | 254.70 Mn | 3.88 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.88 Bn |
| Mar 31, 2026 | 4.04 Bn |
| Dec 31, 2025 | 3.97 Bn |
| Sep 30, 2025 | 3.92 Bn |
| Jun 30, 2025 | 3.78 Bn |
| Mar 31, 2025 | 3.81 Bn |
| Dec 31, 2024 | 3.98 Bn |
| Sep 30, 2024 | 4.17 Bn |
| Jun 30, 2024 | 4.51 Bn |
| Mar 31, 2024 | 4.50 Bn |
| Dec 31, 2023 | 4.64 Bn |
| Sep 30, 2023 | 4.55 Bn |
| Jun 30, 2023 | 4.50 Bn |
| Mar 31, 2023 | 4.47 Bn |
| Dec 31, 2022 | 4.68 Bn |
| Sep 30, 2022 | 4.60 Bn |
| Jun 30, 2022 | 4.63 Bn |
| Mar 31, 2022 | 4.69 Bn |
| Dec 31, 2021 | 4.85 Bn |
| Sep 30, 2021 | 4.91 Bn |
API Access
Pitney Bowes Total Liabilities 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=total-liabilities&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();