Pitney Bowes (PBI) Return on Sales [ROS] (2009 - 2026)
Pitney Bowes (PBI) recorded Return on Sales [ROS] of 17.94% in Q3 2026, down 0.08 percentage points from 18.02% a year earlier but up 0.68 percentage points from the prior quarter.
Powered by 
Analysis
Pitney Bowes (PBI) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Pitney Bowes' Return on Sales [ROS] came in at 16.38% as of Sep 30, 2026, up 7.93 percentage points year-over-year; for FY2025, it was 13.42%, up 10.57 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +8.99 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 2.85% in FY2024 (+0.21 pp), 2.64% in FY2023 (-8.48 pp), 11.11% in FY2022 (+1.82 pp) and 9.29% in FY2021 (+4.86 pp).
- Quarterly Return on Sales [ROS] has ranged from -136.17% in Q2 2023 to 34.33% in Q4 2022 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in six of the last eight quarters, with an average year-over-year change of +7.69 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 140.44 percentage points in Q2 2024, against a drop of 145.59 percentage points in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 17.26% (Q2 2026), 19.54% (Q1 2026) and 10.89% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 15.33% |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 23.62% |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 20.63% |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 20.45% |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 7.91% |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 19.68% |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 4.26% |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 18.68% |
| 10 | Pitney Bowes | 2.13 Bn | 955.79 Mn | 259.05 Mn | 23.64% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 23.64% |
| Jun 30, 2026 | 23.59% |
| Mar 31, 2026 | 24.98% |
| Dec 31, 2025 | 16.37% |
| Sep 30, 2025 | 23.70% |
| Jun 30, 2025 | 17.29% |
| Mar 31, 2025 | 9.47% |
| Dec 31, 2024 | -4.15% |
| Sep 30, 2024 | -3.23% |
| Jun 30, 2024 | 4.27% |
| Mar 31, 2024 | 9.63% |
| Dec 31, 2023 | -6.57% |
| Sep 30, 2023 | 10.59% |
| Jun 30, 2023 | -136.17% |
| Mar 31, 2023 | -106.30% |
| Dec 31, 2022 | 34.33% |
| Sep 30, 2022 | 5.72% |
| Jun 30, 2022 | 9.42% |
| Mar 31, 2022 | 11.97% |
| Dec 31, 2021 | 9.23% |
API Access
Pitney Bowes Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();