Pitney Bowes (PBI) Total Non-Current Liabilities (2009 - 2026)
Pitney Bowes (PBI) posted Total Non-Current Liabilities of $3.69 billion for Q2 2026, up 3.2% from $3.58 billion a year earlier but down 4.0% from the prior quarter.
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Analysis
Pitney Bowes (PBI) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Pitney Bowes' Total Non-Current Liabilities came in at $3.77 billion, up 0.2% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -4.4% (FY2020 to FY2025).
- In prior years, Pitney Bowes' Total Non-Current Liabilities was $3.76 billion in FY2024 (-14.8%), $4.42 billion in FY2023 (-0.8%), $4.45 billion in FY2022 (-1.9%) and $4.54 billion in FY2021 (-3.8%).
- Quarterly Total Non-Current Liabilities has run from a low of $3.58 billion in Q2 2025 to a high of $4.54 billion in Q4 2021 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last three quarters, with an average decline of 5.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2026, with growth of 6.7%; the weakest was Q2 2025, with a decline of 15.2%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $3.85 billion (Q1 2026), $3.77 billion (Q4 2025) and $3.72 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 2.70 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 22.86 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 6.29 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 1.79 Bn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 9.92 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 1.41 Bn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 6.90 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | -6.00 Mn |
| 10 | Pitney Bowes | 2.24 Bn | 1.01 Bn | 254.70 Mn | 3.69 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.69 Bn |
| Mar 31, 2026 | 3.85 Bn |
| Dec 31, 2025 | 3.77 Bn |
| Sep 30, 2025 | 3.72 Bn |
| Jun 30, 2025 | 3.58 Bn |
| Mar 31, 2025 | 3.61 Bn |
| Dec 31, 2024 | 3.76 Bn |
| Sep 30, 2024 | 3.98 Bn |
| Jun 30, 2024 | 4.22 Bn |
| Mar 31, 2024 | 4.19 Bn |
| Dec 31, 2023 | 4.42 Bn |
| Sep 30, 2023 | 4.28 Bn |
| Jun 30, 2023 | 4.26 Bn |
| Mar 31, 2023 | 4.26 Bn |
| Dec 31, 2022 | 4.45 Bn |
| Sep 30, 2022 | 4.33 Bn |
| Jun 30, 2022 | 4.35 Bn |
| Mar 31, 2022 | 4.41 Bn |
| Dec 31, 2021 | 4.54 Bn |
| Sep 30, 2021 | 4.52 Bn |
API Access
Pitney Bowes Total Non-Current 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-non-current-liabilities&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();