Pitney Bowes (PBI) Intangibles (2009 - 2026)
Pitney Bowes (PBI) reported Intangibles of $12.95 million for Q2 2026, down 22.8% from $16.77 million a year earlier and down 6.5% from the prior quarter.
Powered by 
Analysis
Pitney Bowes (PBI) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Pitney Bowes posted Intangibles of $14.74 million, down 6.6% from FY2024.
- Intangibles has declined for eight consecutive years, with a five-year compound annual growth rate of -37.9% (FY2020 to FY2025).
- By year, Intangibles came in at $15.78 million in FY2024 (-22.6%), $20.4 million in FY2023 (-73.8%), $77.94 million in FY2022 (-41.1%) and $132.44 million in FY2021 (-17.1%).
- The Q2 2026 figure ranks as the lowest quarterly Intangibles in data going back to Q2 2009.
- Year over year, Intangibles has now declined in each of the last 31 quarters, with an average decline of 36.7% over the last eight quarters.
- Over the past five years, the year-over-year decline in Intangibles ranged from 5.8% (Q3 2025) to 74.3% (Q3 2024).
- Per Business Quant data, the three quarters before Q2 2026 came in at $13.85 million (Q1 2026), $14.74 million (Q4 2025) and $16.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 2.50 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 706.67 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 1.24 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 1.74 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 601.53 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 1.92 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 41.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 294.43 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | 8.86 Bn |
| 10 | Pitney Bowes | 2.24 Bn | 1.01 Bn | 254.70 Mn | 12.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.95 Mn |
| Mar 31, 2026 | 13.85 Mn |
| Dec 31, 2025 | 14.74 Mn |
| Sep 30, 2025 | 16.02 Mn |
| Jun 30, 2025 | 16.77 Mn |
| Mar 31, 2025 | 17.92 Mn |
| Dec 31, 2024 | 15.78 Mn |
| Sep 30, 2024 | 17.01 Mn |
| Jun 30, 2024 | 54.34 Mn |
| Mar 31, 2024 | 58.28 Mn |
| Dec 31, 2023 | 20.40 Mn |
| Sep 30, 2023 | 66.11 Mn |
| Jun 30, 2023 | 70.06 Mn |
| Mar 31, 2023 | 74.03 Mn |
| Dec 31, 2022 | 77.94 Mn |
| Sep 30, 2022 | 79.40 Mn |
| Jun 30, 2022 | 82.77 Mn |
| Mar 31, 2022 | 124.74 Mn |
| Dec 31, 2021 | 132.44 Mn |
| Sep 30, 2021 | 137.12 Mn |
API Access
Pitney Bowes Intangibles 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=intangibles&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();