Pitney Bowes (PBI) Restructuring Costs (2009 - 2026)
Pitney Bowes (PBI) recorded Restructuring Costs of $3.34 million in Q2 2026, down 75.8% from $13.81 million a year earlier and down 34.7% from the prior quarter.
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Analysis
Pitney Bowes (PBI) Restructuring Costs (2009 - 2026) Analysis & Trends
On a TTM basis, Pitney Bowes' Restructuring Costs came in at $51.9 million as of Jun 30, 2026, down 10.4% year-over-year; for FY2025, it came in at $58.66 million, down 23.7% from FY2024.
- Annual Restructuring Costs has a five-year compound annual growth rate of 23.1% (FY2020 to FY2025).
- Across earlier years, Restructuring Costs came in at $76.92 million in FY2024 (+46.8%), $52.41 million in FY2023 (+204.6%), $17.21 million in FY2022 (-9.4%) and $19 million in FY2021 (-8.3%).
- Quarterly Restructuring Costs has ranged from $1.4 million in Q1 2025 to $41.62 million in Q4 2025 over the past five years.
- On a year-over-year basis, Restructuring Costs rose in three of the last eight quarters, with growth averaging 38.9%.
- Peak year-over-year performance for Restructuring Costs in the last five years was growth of 431.3% in Q2 2023, against a decline of 94.0% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.11 million (Q1 2026), $41.62 million (Q4 2025) and $1.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - |
| 10 | Pitney Bowes | 2.24 Bn | 1.01 Bn | 254.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.34 Mn |
| Mar 31, 2026 | 5.11 Mn |
| Dec 31, 2025 | 41.62 Mn |
| Sep 30, 2025 | 1.84 Mn |
| Jun 30, 2025 | 13.81 Mn |
| Mar 31, 2025 | 1.40 Mn |
| Dec 31, 2024 | 12.06 Mn |
| Sep 30, 2024 | 30.69 Mn |
| Jun 30, 2024 | 30.40 Mn |
| Mar 31, 2024 | 3.77 Mn |
| Dec 31, 2023 | 17.64 Mn |
| Sep 30, 2023 | 13.94 Mn |
| Jun 30, 2023 | 22.44 Mn |
| Mar 31, 2023 | 3.60 Mn |
| Dec 31, 2022 | 4.54 Mn |
| Sep 30, 2022 | 4.26 Mn |
| Jun 30, 2022 | 4.22 Mn |
| Mar 31, 2022 | 4.18 Mn |
| Dec 31, 2021 | 7.57 Mn |
| Sep 30, 2021 | 3.70 Mn |
API Access
Pitney Bowes Restructuring Costs 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=restructuring-costs&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();