Pitney Bowes (PBI) Research & Development (2009 - 2026)
Pitney Bowes (PBI) posted Research & Development of $3.38 million for Q2 2026, down 6.1% from $3.6 million a year earlier and down 10.8% from the prior quarter.
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Analysis
Pitney Bowes (PBI) Research & Development (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Pitney Bowes was $14.09 million, down 44.6% year-over-year; for FY2025, it was $15.28 million, down 52.2% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of -16.8% (FY2020 to FY2025).
- In prior years, Pitney Bowes' Research & Development was $31.96 million in FY2024 (+8.4%), $29.49 million in FY2023 (-16.9%), $35.46 million in FY2022 (-24.2%) and $46.78 million in FY2021 (+21.9%).
- The Q2 2026 figure stands as the lowest quarterly Research & Development since Q4 2022.
- On a year-over-year basis, Research & Development has declined in each of the last six quarters, with an average decline of 27.1% over the last eight quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was Q4 2023, with growth of 164.6%; the weakest was Q4 2022, with a decline of 77.8%.
- According to Business Quant data, Research & Development for the three prior quarters was $3.79 million (Q1 2026), $3.51 million (Q4 2025) and $3.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | - |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | - |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | - |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | - |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | - |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | - |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Pitney Bowes | 2.24 Bn | 1.01 Bn | 254.70 Mn | 3.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.38 Mn |
| Mar 31, 2026 | 3.79 Mn |
| Dec 31, 2025 | 3.51 Mn |
| Sep 30, 2025 | 3.41 Mn |
| Jun 30, 2025 | 3.60 Mn |
| Mar 31, 2025 | 4.76 Mn |
| Dec 31, 2024 | 9.49 Mn |
| Sep 30, 2024 | 7.58 Mn |
| Jun 30, 2024 | 7.26 Mn |
| Mar 31, 2024 | 7.63 Mn |
| Dec 31, 2023 | 8.11 Mn |
| Sep 30, 2023 | 7.72 Mn |
| Jun 30, 2023 | 10.27 Mn |
| Mar 31, 2023 | 10.49 Mn |
| Dec 31, 2022 | 3.06 Mn |
| Sep 30, 2022 | 9.81 Mn |
| Jun 30, 2022 | 11.25 Mn |
| Mar 31, 2022 | 11.33 Mn |
| Dec 31, 2021 | 13.78 Mn |
| Sep 30, 2021 | 10.62 Mn |
API Access
Pitney Bowes Research & Development 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=research-and-development&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();