Pitney Bowes (PBI) Gross Margin (2010 - 2026)
Pitney Bowes (PBI) recorded Gross Margin of 56.41% in Q2 2026, down 0.56 percentage points from 56.98% a year earlier and down 0.68 percentage points from the prior quarter.
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Analysis
Pitney Bowes (PBI) Gross Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Pitney Bowes' Gross Margin came in at 56.95% as of Jun 30, 2026, up 1.70 percentage points year-over-year; for FY2025, it came in at 57.35%, up 4.93 percentage points from FY2024.
- Annual Gross Margin has increased for four straight years, with a five-year change of +25.01 percentage points (FY2020 to FY2025).
- Across earlier years, Gross Margin came in at 52.42% in FY2024 (+2.84 pp), 49.57% in FY2023 (+3.13 pp), 46.45% in FY2022 (+15.90 pp) and 30.54% in FY2021 (-1.80 pp).
- Quarterly Gross Margin has ranged from 27.62% in Q4 2021 to 58.09% in Q1 2025 over the past five years.
- On a year-over-year basis, Gross Margin rose in six of the last eight quarters, with an average year-over-year change of +2.84 percentage points.
- Peak year-over-year performance for Gross Margin in the last five years was a gain of 18.90 percentage points in Q3 2023, against a drop of 1.59 percentage points in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 57.09% (Q1 2026), 57.90% (Q4 2025) and 56.34% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 32.77% |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 50.95% |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 52.76% |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 31.19% |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 52.84% |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 8.51% |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 51.10% |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 70.95% |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Pitney Bowes | 2.24 Bn | 1.01 Bn | 254.70 Mn | 56.41% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.41% |
| Mar 31, 2026 | 57.09% |
| Dec 31, 2025 | 57.90% |
| Sep 30, 2025 | 56.34% |
| Jun 30, 2025 | 56.98% |
| Mar 31, 2025 | 58.09% |
| Dec 31, 2024 | 53.79% |
| Sep 30, 2024 | 52.35% |
| Jun 30, 2024 | 51.14% |
| Mar 31, 2024 | 52.32% |
| Dec 31, 2023 | 50.88% |
| Sep 30, 2023 | 50.69% |
| Jun 30, 2023 | 49.01% |
| Mar 31, 2023 | 47.81% |
| Sep 30, 2022 | 31.79% |
| Jun 30, 2022 | 37.32% |
| Mar 31, 2022 | 38.64% |
| Dec 31, 2021 | 27.62% |
| Sep 30, 2021 | 31.28% |
| Jun 30, 2021 | 32.13% |
API Access
Pitney Bowes Gross Margin 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=gross-margin&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();