Pitney Bowes (PBI) Asset Writedowns and Impairment (2011 - 2025)
Pitney Bowes' Asset Writedowns and Impairment came in at $268,000 for Q4 2025.
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Analysis
Pitney Bowes (PBI) Asset Writedowns and Impairment (2011 - 2025) Analysis & Trends
Going back to Q3 2011, Pitney Bowes' Asset Writedowns and Impairment data covers 16 quarters.
- Asset Writedowns and Impairment carries a five-year compound annual growth rate of -73.3% (FY2020 to FY2025).
- Going back by year, Asset Writedowns and Impairment was $10 million in FY2024 (-91.9%) and $123.57 million in FY2023.
- The Q4 2025 figure represents the highest quarterly Asset Writedowns and Impairment since Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - |
| 10 | Pitney Bowes | 2.30 Bn | 1.07 Bn | 254.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 268,000.00 |
| Sep 30, 2024 | 10.00 Mn |
| Dec 31, 2023 | 220.00 Mn |
| Jun 30, 2023 | 119.00 Mn |
| Dec 31, 2022 | 1.38 Mn |
| Mar 31, 2022 | -172,000.00 |
| Mar 31, 2020 | 198.17 Mn |
| Dec 31, 2019 | -43.00 Mn |
| Dec 31, 2017 | 171.00 Mn |
| Dec 31, 2013 | -101.42 Mn |
| Sep 30, 2013 | 101.42 Mn |
| Jun 30, 2013 | 100.25 Mn |
| Dec 31, 2012 | -18.32 Mn |
| Sep 30, 2012 | 18.32 Mn |
| Dec 31, 2011 | -130.15 Mn |
| Sep 30, 2011 | 45.65 Mn |
API Access
Pitney Bowes Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();