Pitney Bowes (PBI) Net Margin (2009 - 2026)
Pitney Bowes' Net Margin was 11.05% in Q2 2026, up 4.56 percentage points from 6.49% a year earlier but down 1.12 percentage points from the prior quarter.
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Analysis
Pitney Bowes (PBI) Net Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pitney Bowes' Net Margin was 10.04% through Jun 30, 2026, up 15.64 percentage points year-over-year; for FY2025, it came in at 7.65%, up 17.69 percentage points from FY2024.
- Net Margin shows a five-year change of +12.72 percentage points (FY2020 to FY2025).
- In earlier years, Net Margin was -10.05% in FY2024 (+8.50 pp), -18.55% in FY2023 (-20.04 pp), 1.49% in FY2022 (+1.52 pp) and -0.04% in FY2021 (+5.04 pp).
- Quarterly Net Margin has moved between -42.52% (Q4 2023) and 12.18% (Q1 2026) over five years.
- Compared with a year earlier, Net Margin has increased for seven straight quarters, with an average year-over-year change of +11.36 percentage points over the last eight quarters.
- The best year-over-year quarter for Net Margin over five years was Q3 2025 (a gain of 39.03 percentage points); the worst was Q2 2023 (a drop of 28.76 percentage points).
- Per Business Quant data, PBI's Net Margin in the three quarters before Q2 2026 was 12.18% (Q1 2026), 5.72% (Q4 2025) and 11.30% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 12.50% |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 17.59% |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 5.00% |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 3.95% |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 13.34% |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 1.93% |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 30.15% |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 16.44% |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Pitney Bowes | 2.24 Bn | 1.01 Bn | 254.70 Mn | 11.05% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.05% |
| Mar 31, 2026 | 12.18% |
| Dec 31, 2025 | 5.72% |
| Sep 30, 2025 | 11.30% |
| Jun 30, 2025 | 6.49% |
| Mar 31, 2025 | 7.18% |
| Dec 31, 2024 | -7.24% |
| Sep 30, 2024 | -27.72% |
| Jun 30, 2024 | -5.08% |
| Mar 31, 2024 | -0.55% |
| Dec 31, 2023 | -42.52% |
| Sep 30, 2023 | -2.49% |
| Jun 30, 2023 | -28.26% |
| Mar 31, 2023 | -1.41% |
| Sep 30, 2022 | 0.66% |
| Jun 30, 2022 | 0.50% |
| Mar 31, 2022 | 2.25% |
| Dec 31, 2021 | 0.13% |
| Sep 30, 2021 | 1.04% |
| Jun 30, 2021 | 2.21% |
API Access
Pitney Bowes Net 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=net-margin&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();