Pitney Bowes (PBI) Cost of Revenue (2010 - 2026)
Pitney Bowes' Cost of Revenue came in at $196.8 million for Q2 2026, down 1.0% from $198.73 million a year earlier and down 3.9% from the prior quarter.
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Analysis
Pitney Bowes (PBI) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pitney Bowes reported Cost of Revenue of $803.38 million, down 8.9% year-over-year; for FY2025, it came in at $807.26 million, down 16.3% from FY2024.
- Cost of Revenue has declined in each of the last four years, with a five-year compound annual growth rate of -19.6% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $964.3 million in FY2024 (-8.0%), $1.05 billion in FY2023 (-21.2%), $1.33 billion in FY2022 (-47.9%) and $2.55 billion in FY2021 (+6.1%).
- The Q2 2026 figure represents the lowest quarterly Cost of Revenue since Q4 2022.
- Year-over-year, Cost of Revenue has declined for ten consecutive quarters, with an average decline of 9.9% over the last eight quarters.
- Over the past five years, the year-over-year decline in Cost of Revenue ranged from 0.9% (Q1 2026) to 56.2% (Q3 2023).
- Business Quant data shows PBI's Cost of Revenue at $204.84 million (Q1 2026), $201.06 million (Q4 2025) and $200.69 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 12.58 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 1.42 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 958.61 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 1.55 Bn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.63 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 508.63 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 399.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 486.91 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Pitney Bowes | 2.30 Bn | 1.07 Bn | 254.70 Mn | 196.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 196.80 Mn |
| Mar 31, 2026 | 204.84 Mn |
| Dec 31, 2025 | 201.06 Mn |
| Sep 30, 2025 | 200.69 Mn |
| Jun 30, 2025 | 198.73 Mn |
| Mar 31, 2025 | 206.79 Mn |
| Dec 31, 2024 | 238.52 Mn |
| Sep 30, 2024 | 237.99 Mn |
| Jun 30, 2024 | 239.27 Mn |
| Mar 31, 2024 | 248.52 Mn |
| Dec 31, 2023 | 258.58 Mn |
| Sep 30, 2023 | 248.03 Mn |
| Jun 30, 2023 | 255.37 Mn |
| Mar 31, 2023 | 286.34 Mn |
| Dec 31, 2022 | -455.56 Mn |
| Sep 30, 2022 | 566.73 Mn |
| Jun 30, 2022 | 546.29 Mn |
| Mar 31, 2022 | 568.78 Mn |
| Dec 31, 2021 | 712.04 Mn |
| Sep 30, 2021 | 601.58 Mn |
API Access
Pitney Bowes Cost of Revenue 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=cost-of-revenue&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();