Pitney Bowes (PBI) Return on Sales [ROS] (2009 - 2026)
Pitney Bowes (PBI) recorded Return on Sales [ROS] of -29.08% in Q2 2026, up 5.44 percentage points from -34.52% a year earlier but down 3.03 percentage points from the prior quarter.
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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 -29.52% as of Jun 30, 2026, up 15.54 percentage points year-over-year; for FY2025, it was -32.48%, up 17.68 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +40.34 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -50.16% in FY2024 (+2.37 pp), -52.54% in FY2023 (-6.58 pp), -45.96% in FY2022 (+23.70 pp) and -69.66% in FY2021 (+3.16 pp).
- Quarterly Return on Sales [ROS] has ranged from -136.17% in Q2 2023 to -26.05% in Q1 2026 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has increased for seven consecutive quarters, with an average year-over-year change of +9.49 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 85.71 percentage points in Q2 2024, against a drop of 73.18 percentage points in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -26.05% (Q1 2026), -34.06% (Q4 2025) and -28.83% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 23.17% |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 7.76% |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.26% |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 18.67% |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 18.38% |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Pitney Bowes | 2.30 Bn | 1.07 Bn | 254.70 Mn | -29.08% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -29.08% |
| Mar 31, 2026 | -26.05% |
| Dec 31, 2025 | -34.06% |
| Sep 30, 2025 | -28.83% |
| Jun 30, 2025 | -34.52% |
| Mar 31, 2025 | -32.44% |
| Dec 31, 2024 | -55.55% |
| Sep 30, 2024 | -56.43% |
| Jun 30, 2024 | -50.46% |
| Mar 31, 2024 | -38.54% |
| Dec 31, 2023 | -61.00% |
| Sep 30, 2023 | -43.95% |
| Jun 30, 2023 | -136.17% |
| Mar 31, 2023 | -106.30% |
| Dec 31, 2022 | -41.79% |
| Sep 30, 2022 | -66.99% |
| Jun 30, 2022 | -62.99% |
| Mar 31, 2022 | -58.66% |
| Dec 31, 2021 | -72.23% |
| Sep 30, 2021 | -67.92% |
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();