Pitney Bowes (PBI) Selling, General & Administrative (2009 - 2026)
Pitney Bowes (PBI) posted Selling, General & Administrative of $128.75 million for Q2 2026, down 24.5% from $170.54 million a year earlier and down 3.5% from the prior quarter.
Pitney Bowes (PBI) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Pitney Bowes was $547.23 million, down 18.9% year-over-year; for FY2025, it came in at $621.57 million, down 13.4% from FY2024.
- Annual Selling, General & Administrative has declined for six consecutive years, with a five-year compound annual growth rate of -8.4% (FY2020 to FY2025).
- In prior years, Pitney Bowes' Selling, General & Administrative was $717.89 million in FY2024 (-8.2%), $781.61 million in FY2023 (-0.5%), $785.55 million in FY2022 (-15.0%) and $924.16 million in FY2021 (-4.1%).
- The Q2 2026 figure stands as the lowest quarterly Selling, General & Administrative since Q4 2022.
- On a year-over-year basis, Selling, General & Administrative has declined in each of the last seven quarters, with an average decline of 14.7% over the last eight quarters.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q4 2023, with growth of 86.2%; the weakest was Q4 2022, with a decline of 52.6%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $133.38 million (Q1 2026), $140.96 million (Q4 2025) and $144.15 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 1.15 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 402.34 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 78.63 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 334.98 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 764.59 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Pitney Bowes | 2.30 Bn | 1.07 Bn | 254.70 Mn | 128.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 128.75 Mn |
| Mar 31, 2026 | 133.38 Mn |
| Dec 31, 2025 | 140.96 Mn |
| Sep 30, 2025 | 144.15 Mn |
| Jun 30, 2025 | 170.54 Mn |
| Mar 31, 2025 | 165.92 Mn |
| Dec 31, 2024 | 148.27 Mn |
| Sep 30, 2024 | 189.99 Mn |
| Jun 30, 2024 | 192.80 Mn |
| Mar 31, 2024 | 186.83 Mn |
| Dec 31, 2023 | 198.44 Mn |
| Sep 30, 2023 | 182.74 Mn |
| Jun 30, 2023 | 222.55 Mn |
| Mar 31, 2023 | 242.12 Mn |
| Dec 31, 2022 | 106.55 Mn |
| Sep 30, 2022 | 209.58 Mn |
| Jun 30, 2022 | 226.64 Mn |
| Mar 31, 2022 | 242.79 Mn |
| Dec 31, 2021 | 224.85 Mn |
| Sep 30, 2021 | 225.02 Mn |
Pitney Bowes Selling, General & Administrative 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=selling-general-and-administrative&ticker=PBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();