Pitney Bowes (PBI) Capital Expenditures (2009 - 2026)
Pitney Bowes (PBI) reported Capital Expenditures of $18.49 million for Q2 2026, up 38.5% from $13.34 million a year earlier and up 16.7% from the prior quarter.
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Analysis
Pitney Bowes (PBI) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Pitney Bowes' Capital Expenditures came in at $70.38 million, down 2.0% year-over-year; for FY2025, it came in at $66.28 million, down 8.5% from FY2024.
- Capital Expenditures has declined for four consecutive years, with a five-year compound annual growth rate of -8.8% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $72.4 million in FY2024 (-7.3%), $78.11 million in FY2023 (-5.5%), $82.63 million in FY2022 (-55.1%) and $184.04 million in FY2021 (+75.3%).
- Five-year quarterly Capital Expenditures spans a low of -$14.9 million in Q4 2022 and a high of $57.2 million in Q3 2021.
- Year over year, Capital Expenditures gained in two of the last seven quarters, with an average decline of 2.4%.
- The high point for year-over-year Capital Expenditures in five years was Q3 2021 (growth of 174.6%); the low point was Q1 2024 (a decline of 50.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $15.85 million (Q1 2026), $20.25 million (Q4 2025) and $15.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 186.22 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 96.00 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 588.19 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 31.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 6.43 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 112.37 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 69.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 19.92 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Pitney Bowes | 2.24 Bn | 1.01 Bn | 254.70 Mn | 18.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.49 Mn |
| Mar 31, 2026 | 15.85 Mn |
| Dec 31, 2025 | 20.25 Mn |
| Sep 30, 2025 | 15.80 Mn |
| Jun 30, 2025 | 13.34 Mn |
| Mar 31, 2025 | 16.89 Mn |
| Dec 31, 2024 | 22.18 Mn |
| Sep 30, 2024 | 19.44 Mn |
| Jun 30, 2024 | 16.47 Mn |
| Mar 31, 2024 | 14.32 Mn |
| Dec 31, 2023 | 27.88 Mn |
| Sep 30, 2023 | -4.42 Mn |
| Jun 30, 2023 | 25.98 Mn |
| Mar 31, 2023 | 28.67 Mn |
| Dec 31, 2022 | -14.90 Mn |
| Sep 30, 2022 | 33.36 Mn |
| Jun 30, 2022 | 31.62 Mn |
| Mar 31, 2022 | 32.56 Mn |
| Dec 31, 2021 | 43.14 Mn |
| Sep 30, 2021 | 57.20 Mn |
API Access
Pitney Bowes Capital Expenditures 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=capital-expenditures&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();