Pitney Bowes (PBI) Return on Capital Employed [ROCE] (2009 - 2026)
Pitney Bowes' Return on Capital Employed [ROCE] came in at -33.07% for Q2 2026, up 17.24 percentage points from -50.31% a year earlier and up 10.15 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 -35.42%, up 11.60 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +39.02 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -47.02% in FY2024 (-5.14 pp), -41.87% in FY2023 (-5.33 pp), -36.54% in FY2022 (+39.53 pp) and -76.08% in FY2021 (-1.64 pp).
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q3 2023.
- Year-over-year, Return on Capital Employed [ROCE] has increased for four consecutive quarters, with an average year-over-year change of +6.02 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q3 2023 (a gain of 46.28 percentage points), and the weakest in Q4 2023 (a drop of 38.50 percentage points).
- Business Quant data shows PBI's Return on Capital Employed [ROCE] at -43.22% (Q1 2026), -36.94% (Q4 2025) and -40.47% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 22.86% |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 33.88% |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 7.54% |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 8.75% |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 7.98% |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 31.56% |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 25.89% |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 29.65% |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Pitney Bowes | 2.30 Bn | 1.07 Bn | 254.70 Mn | -33.07% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -33.07% |
| Mar 31, 2026 | -43.22% |
| Dec 31, 2025 | -36.94% |
| Sep 30, 2025 | -40.47% |
| Jun 30, 2025 | -50.31% |
| Mar 31, 2025 | -52.90% |
| Dec 31, 2024 | -54.96% |
| Sep 30, 2024 | -48.25% |
| Jun 30, 2024 | -41.05% |
| Mar 31, 2024 | -55.62% |
| Dec 31, 2023 | -73.80% |
| Sep 30, 2023 | -31.43% |
| Jun 30, 2023 | -46.18% |
| Mar 31, 2023 | -37.96% |
| Dec 31, 2022 | -35.30% |
| Sep 30, 2022 | -77.71% |
| Jun 30, 2022 | -77.27% |
| Mar 31, 2022 | -75.91% |
| Dec 31, 2021 | -79.25% |
| Sep 30, 2021 | -77.67% |
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();