Pitney Bowes (PBI) Return on Capital Employed [ROCE] (2009 - 2026)
Pitney Bowes' Return on Capital Employed [ROCE] came in at 20.22% for Q3 2026, up 11.28 percentage points from 8.93% a year earlier and up 1.85 percentage points from the prior quarter.
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Analysis
Pitney Bowes (PBI) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Pitney Bowes' Return on Capital Employed [ROCE] was 14.64%, up 11.97 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +10.11 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 2.67% in FY2024 (+0.57 pp), 2.10% in FY2023 (-6.74 pp), 8.84% in FY2022 (-1.31 pp) and 10.15% in FY2021 (+5.62 pp).
- The five-year range for quarterly Return on Capital Employed [ROCE] is -50.90% (Q4 2023) to 29.00% (Q4 2022).
- Year-over-year, Return on Capital Employed [ROCE] has increased for five consecutive quarters, with an average year-over-year change of +18.01 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q4 2024 (a gain of 52.71 percentage points), and the weakest in Q4 2023 (a drop of 79.89 percentage points).
- Business Quant data shows PBI's Return on Capital Employed [ROCE] at 18.37% (Q2 2026), 21.13% (Q1 2026) and 14.21% (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 23.33% |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 34.24% |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 8.28% |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 30.79% |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 8.90% |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 22.24% |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 7.98% |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 35.82% |
| 10 | Pitney Bowes | 2.13 Bn | 955.79 Mn | 259.05 Mn | 27.29% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 27.29% |
| Jun 30, 2026 | 24.78% |
| Mar 31, 2026 | 28.83% |
| Dec 31, 2025 | 18.85% |
| Sep 30, 2025 | 11.73% |
| Jun 30, 2025 | 5.04% |
| Mar 31, 2025 | 1.63% |
| Dec 31, 2024 | 1.81% |
| Sep 30, 2024 | 0.94% |
| Jun 30, 2024 | 3.72% |
| Mar 31, 2024 | -23.93% |
| Dec 31, 2023 | -50.90% |
| Sep 30, 2023 | -21.57% |
| Jun 30, 2023 | -23.12% |
| Mar 31, 2023 | 5.57% |
| Dec 31, 2022 | 29.00% |
| Sep 30, 2022 | 10.91% |
| Jun 30, 2022 | 12.16% |
| Mar 31, 2022 | 12.69% |
| Dec 31, 2021 | 10.57% |
API Access
Pitney Bowes Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();