Pitney Bowes (PBI) Depreciation & Amortization (CF) (2009 - 2026)
Pitney Bowes' Depreciation & Amortization (CF) came in at $23.69 million for Q2 2026, down 17.6% from $28.76 million a year earlier and down 7.6% from the prior quarter.
Pitney Bowes (PBI) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pitney Bowes reported Depreciation & Amortization (CF) of $103.82 million, down 9.1% year-over-year; for FY2025, it was $111.58 million, down 2.5% from FY2024.
- Depreciation & Amortization (CF) carries a five-year compound annual growth rate of -7.0% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization (CF) was $114.49 million in FY2024 (+1.6%), $112.72 million in FY2023 (+1.4%), $111.17 million in FY2022 (-31.7%) and $162.86 million in FY2021 (+1.4%).
- The Q2 2026 figure represents the lowest quarterly Depreciation & Amortization (CF) since Q3 2023.
- Year-over-year, Depreciation & Amortization (CF) has declined for four consecutive quarters, with growth averaging 58.5% over the last eight quarters.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in Q3 2024 (growth of 503.9%), and the weakest in Q3 2023 (a decline of 88.0%).
- Business Quant data shows PBI's Depreciation & Amortization (CF) at $25.64 million (Q1 2026), $27.07 million (Q4 2025) and $27.42 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 584.58 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 81.60 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 202.85 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 21.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 33.61 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 136.10 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 46.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 45.18 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Pitney Bowes | 2.24 Bn | 1.01 Bn | 254.70 Mn | 23.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.69 Mn |
| Mar 31, 2026 | 25.64 Mn |
| Dec 31, 2025 | 27.07 Mn |
| Sep 30, 2025 | 27.42 Mn |
| Jun 30, 2025 | 28.76 Mn |
| Mar 31, 2025 | 28.32 Mn |
| Dec 31, 2024 | 28.59 Mn |
| Sep 30, 2024 | 28.57 Mn |
| Jun 30, 2024 | 28.48 Mn |
| Mar 31, 2024 | 28.85 Mn |
| Dec 31, 2023 | 28.22 Mn |
| Sep 30, 2023 | 4.73 Mn |
| Jun 30, 2023 | 39.87 Mn |
| Mar 31, 2023 | 39.90 Mn |
| Dec 31, 2022 | -13.59 Mn |
| Sep 30, 2022 | 39.28 Mn |
| Jun 30, 2022 | 43.47 Mn |
| Mar 31, 2022 | 42.00 Mn |
| Dec 31, 2021 | 41.63 Mn |
| Sep 30, 2021 | 41.81 Mn |
Pitney Bowes Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=PBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();