Pitney Bowes (PBI) Other Non-Current Assets (2009 - 2026)
Pitney Bowes' Other Non-Current Assets came in at $284.44 million for Q2 2026, up 3.1% from $275.76 million a year earlier but down 0.3% from the prior quarter.
Pitney Bowes (PBI) Other Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Pitney Bowes' Other Non-Current Assets was $289.52 million, up 4.9% from FY2024.
- Other Non-Current Assets carries a five-year compound annual growth rate of -10.0% (FY2020 to FY2025).
- Going back by year, Other Non-Current Assets was $276.09 million in FY2024 (-3.2%), $285.33 million in FY2023 (-46.8%), $535.83 million in FY2022 (+13.7%) and $471.08 million in FY2021 (-4.2%).
- The five-year range for quarterly Other Non-Current Assets is $269.37 million (Q1 2025) to $535.83 million (Q4 2022).
- Year-over-year, Other Non-Current Assets has increased for three consecutive quarters, with an average decline of 5.6% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Assets over five years came in Q4 2022 (growth of 13.7%), and the weakest in Q4 2023 (a decline of 46.8%).
- Business Quant data shows PBI's Other Non-Current Assets at $285.16 million (Q1 2026), $289.52 million (Q4 2025) and $302.79 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 1.49 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 393.77 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 642.00 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 157.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 60.61 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 615.19 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 134.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 528.66 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | 1.39 Bn |
| 10 | Pitney Bowes | 2.24 Bn | 1.01 Bn | 254.70 Mn | 284.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 284.44 Mn |
| Mar 31, 2026 | 285.16 Mn |
| Dec 31, 2025 | 289.52 Mn |
| Sep 30, 2025 | 302.79 Mn |
| Jun 30, 2025 | 275.76 Mn |
| Mar 31, 2025 | 269.37 Mn |
| Dec 31, 2024 | 276.09 Mn |
| Sep 30, 2024 | 320.04 Mn |
| Jun 30, 2024 | 327.49 Mn |
| Mar 31, 2024 | 338.49 Mn |
| Dec 31, 2023 | 285.33 Mn |
| Sep 30, 2023 | 370.72 Mn |
| Jun 30, 2023 | 388.73 Mn |
| Mar 31, 2023 | 390.30 Mn |
| Dec 31, 2022 | 535.83 Mn |
| Sep 30, 2022 | 388.70 Mn |
| Jun 30, 2022 | 410.87 Mn |
| Mar 31, 2022 | 436.11 Mn |
| Dec 31, 2021 | 471.08 Mn |
| Sep 30, 2021 | 484.25 Mn |
Pitney Bowes Other Non-Current Assets 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-assets&ticker=PBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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-assets&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();