Pitney Bowes (PBI) Tax Provisions (2009 - 2026)
Pitney Bowes (PBI) posted Tax Provisions of $17.43 million for Q3 2026, up 7.7% from $16.18 million a year earlier and up 11.8% from the prior quarter.
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Analysis
Pitney Bowes (PBI) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Tax Provisions at Pitney Bowes was $66.39 million, up 116.6% year-over-year; for FY2025, it came in at $47.83 million.
- Annual Tax Provisions shows a five-year compound annual growth rate of 46.4% (FY2020 to FY2025).
- In prior years, Pitney Bowes' Tax Provisions was -$154.83 million in FY2024, $17.35 million in FY2023 (-59.6%), $42.96 million in FY2022 and -$10.92 million in FY2021.
- Quarterly Tax Provisions has run from a low of -$166.47 million in Q3 2024 to a high of $41.14 million in Q4 2022 over five years.
- On a year-over-year basis, Tax Provisions has increased in each of the last three quarters, with growth averaging 91.0% over the last five quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q2 2025, with growth of 309.3%; the weakest was Q1 2025, with a decline of 27.0%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $15.58 million (Q2 2026), $22.34 million (Q1 2026) and $11.04 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 764.36 Mn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 138.12 Mn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 56.73 Mn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 54.70 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 41.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 43.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 37.90 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 41.30 Mn |
| 10 | Pitney Bowes | 2.13 Bn | 955.79 Mn | 259.05 Mn | 17.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.43 Mn |
| Jun 30, 2026 | 15.58 Mn |
| Mar 31, 2026 | 22.34 Mn |
| Dec 31, 2025 | 11.04 Mn |
| Sep 30, 2025 | 16.18 Mn |
| Jun 30, 2025 | 9.30 Mn |
| Mar 31, 2025 | 11.31 Mn |
| Dec 31, 2024 | -6.13 Mn |
| Sep 30, 2024 | -166.47 Mn |
| Jun 30, 2024 | 2.27 Mn |
| Mar 31, 2024 | 15.50 Mn |
| Dec 31, 2023 | -984,000.00 |
| Sep 30, 2023 | 9.12 Mn |
| Jun 30, 2023 | 2.63 Mn |
| Mar 31, 2023 | 6.59 Mn |
| Dec 31, 2022 | 41.14 Mn |
| Sep 30, 2022 | 4.64 Mn |
| Jun 30, 2022 | -7.03 Mn |
| Mar 31, 2022 | 4.20 Mn |
| Dec 31, 2021 | -320,000.00 |
API Access
Pitney Bowes Tax Provisions 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=tax-provisions&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();