Pitney Bowes (PBI) Property, Plant & Equipment (Net) (2009 - 2026)
Pitney Bowes (PBI) recorded Property, Plant & Equipment (Net) of $175.56 million in Q2 2026, down 9.2% from $193.26 million a year earlier and down 2.7% from the prior quarter.
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Analysis
Pitney Bowes (PBI) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Pitney Bowes reported Property, Plant & Equipment (Net) of $185.91 million, down 15.0% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for four straight years, with a five-year compound annual growth rate of -13.8% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $218.66 million in FY2024 (-13.9%), $254.08 million in FY2023 (-39.6%), $420.67 million in FY2022 (-2.0%) and $429.16 million in FY2021 (+9.7%).
- The Q2 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q2 2009.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for 17 consecutive quarters, with an average decline of 25.2% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 27.2% in Q3 2021, against a decline of 46.2% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $180.34 million (Q1 2026), $185.91 million (Q4 2025) and $184.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 1.62 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 1.74 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 10.27 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 429.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 1.74 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 126.69 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 766.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 199.25 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | 443.00 Mn |
| 10 | Pitney Bowes | 2.30 Bn | 1.07 Bn | 254.70 Mn | 175.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 175.56 Mn |
| Mar 31, 2026 | 180.34 Mn |
| Dec 31, 2025 | 185.91 Mn |
| Sep 30, 2025 | 184.04 Mn |
| Jun 30, 2025 | 193.26 Mn |
| Mar 31, 2025 | 204.38 Mn |
| Dec 31, 2024 | 218.66 Mn |
| Sep 30, 2024 | 228.83 Mn |
| Jun 30, 2024 | 359.45 Mn |
| Mar 31, 2024 | 370.11 Mn |
| Dec 31, 2023 | 254.08 Mn |
| Sep 30, 2023 | 391.65 Mn |
| Jun 30, 2023 | 401.91 Mn |
| Mar 31, 2023 | 411.79 Mn |
| Dec 31, 2022 | 420.67 Mn |
| Sep 30, 2022 | 427.96 Mn |
| Jun 30, 2022 | 427.44 Mn |
| Mar 31, 2022 | 430.50 Mn |
| Dec 31, 2021 | 429.16 Mn |
| Sep 30, 2021 | 467.40 Mn |
API Access
Pitney Bowes Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();