Pitney Bowes (PBI) Inventory (2009 - 2026)
Pitney Bowes' Inventory was $62.88 million in Q2 2026, down 20.4% from $79 million a year earlier but up 0.4% from the prior quarter.
Powered by 
Analysis
Pitney Bowes (PBI) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Pitney Bowes came in at $66.24 million, up 10.7% from FY2024.
- Inventory shows a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- In earlier years, Inventory was $59.84 million in FY2024 (-5.1%), $63.05 million in FY2023 (-24.7%), $83.72 million in FY2022 (+6.5%) and $78.59 million in FY2021 (+9.9%).
- Quarterly Inventory has moved between $59.84 million (Q4 2024) and $94.02 million (Q1 2023) over five years.
- Compared with a year earlier, Inventory was higher in three of the last eight quarters, with an average decline of 5.2%.
- The best year-over-year quarter for Inventory over five years was Q1 2022 (growth of 37.7%); the worst was Q4 2023 (a decline of 24.7%).
- Per Business Quant data, PBI's Inventory in the three quarters before Q2 2026 was $62.61 million (Q1 2026), $66.24 million (Q4 2025) and $75.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | - |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 446.44 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | - |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 172.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 42.81 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 433.62 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 | - | 314.00 Mn |
| 10 | Pitney Bowes | 2.24 Bn | 1.01 Bn | 254.70 Mn | 62.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.88 Mn |
| Mar 31, 2026 | 62.61 Mn |
| Dec 31, 2025 | 66.24 Mn |
| Sep 30, 2025 | 75.70 Mn |
| Jun 30, 2025 | 79.00 Mn |
| Mar 31, 2025 | 65.10 Mn |
| Dec 31, 2024 | 59.84 Mn |
| Sep 30, 2024 | 71.64 Mn |
| Jun 30, 2024 | 76.50 Mn |
| Mar 31, 2024 | 78.68 Mn |
| Dec 31, 2023 | 63.05 Mn |
| Sep 30, 2023 | 83.78 Mn |
| Jun 30, 2023 | 92.78 Mn |
| Mar 31, 2023 | 94.02 Mn |
| Dec 31, 2022 | 83.72 Mn |
| Sep 30, 2022 | 89.95 Mn |
| Jun 30, 2022 | 82.80 Mn |
| Mar 31, 2022 | 87.66 Mn |
| Dec 31, 2021 | 78.59 Mn |
| Sep 30, 2021 | 69.50 Mn |
API Access
Pitney Bowes Inventory 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=inventory&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();