Pitney Bowes (PBI) Other Non-Current Liabilities (2009 - 2026)
Pitney Bowes (PBI) posted Other Non-Current Liabilities of $191.91 million for Q2 2026, down 3.7% from $199.35 million a year earlier and down 1.3% from the prior quarter.
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Analysis
Pitney Bowes (PBI) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Pitney Bowes' Other Non-Current Liabilities came in at $203.88 million, down 5.2% from FY2024.
- Annual Other Non-Current Liabilities has declined for five consecutive years, with a five-year compound annual growth rate of -14.1% (FY2020 to FY2025).
- In prior years, Pitney Bowes' Other Non-Current Liabilities was $215.03 million in FY2024 (-4.1%), $224.11 million in FY2023 (-1.6%), $227.73 million in FY2022 (-26.2%) and $308.73 million in FY2021 (-29.4%).
- The Q2 2026 figure stands as the lowest quarterly Other Non-Current Liabilities since Q3 2024.
- On a year-over-year basis, Other Non-Current Liabilities has declined in each of the last three quarters, with an average decline of 13.2% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q1 2024, with growth of 41.9%; the weakest was Q1 2025, with a decline of 34.0%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $194.5 million (Q1 2026), $203.88 million (Q4 2025) and $195.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - |
| 10 | Pitney Bowes | 2.24 Bn | 1.01 Bn | 254.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 191.91 Mn |
| Mar 31, 2026 | 194.50 Mn |
| Dec 31, 2025 | 203.88 Mn |
| Sep 30, 2025 | 195.90 Mn |
| Jun 30, 2025 | 199.35 Mn |
| Mar 31, 2025 | 200.00 Mn |
| Dec 31, 2024 | 215.03 Mn |
| Sep 30, 2024 | 183.50 Mn |
| Jun 30, 2024 | 290.94 Mn |
| Mar 31, 2024 | 303.08 Mn |
| Dec 31, 2023 | 224.11 Mn |
| Sep 30, 2023 | 266.00 Mn |
| Jun 30, 2023 | 241.78 Mn |
| Mar 31, 2023 | 213.56 Mn |
| Dec 31, 2022 | 227.73 Mn |
| Sep 30, 2022 | 268.42 Mn |
| Jun 30, 2022 | 282.44 Mn |
| Mar 31, 2022 | 288.59 Mn |
| Dec 31, 2021 | 308.73 Mn |
| Sep 30, 2021 | 390.40 Mn |
API Access
Pitney Bowes Other 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=other-non-current-liabilities&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();