Pitney Bowes (PBI) Receivables (2009 - 2026)
Pitney Bowes' Receivables came in at $147.9 million for Q2 2026, down 4.8% from $155.32 million a year earlier and down 6.7% from the prior quarter.
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Analysis
Pitney Bowes (PBI) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Pitney Bowes' Receivables was $168.1 million, up 5.1% from FY2024.
- Receivables carries a five-year compound annual growth rate of -15.5% (FY2020 to FY2025).
- Going back by year, Receivables was $159.95 million in FY2024 (-20.1%), $200.24 million in FY2023 (-41.7%), $343.56 million in FY2022 (+2.7%) and $334.63 million in FY2021 (-14.0%).
- The Q2 2026 figure represents the lowest quarterly Receivables in data going back to Q2 2009.
- Year-over-year, Receivables increased in 1 of the last eight quarters, with an average decline of 19.9%.
- The fastest year-over-year change in Receivables over five years came in Q1 2024 (growth of 13.2%), and the weakest in Q1 2025 (a decline of 47.8%).
- Business Quant data shows PBI's Receivables at $158.59 million (Q1 2026), $168.1 million (Q4 2025) and $161.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 18.08 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 1.56 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 1.49 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 2.34 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 238.99 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 2.58 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 710.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 1.20 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | 1.26 Bn |
| 10 | Pitney Bowes | 2.24 Bn | 1.01 Bn | 254.70 Mn | 147.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 147.90 Mn |
| Mar 31, 2026 | 158.59 Mn |
| Dec 31, 2025 | 168.10 Mn |
| Sep 30, 2025 | 161.70 Mn |
| Jun 30, 2025 | 155.32 Mn |
| Mar 31, 2025 | 160.28 Mn |
| Dec 31, 2024 | 159.95 Mn |
| Sep 30, 2024 | 188.79 Mn |
| Jun 30, 2024 | 266.17 Mn |
| Mar 31, 2024 | 307.20 Mn |
| Dec 31, 2023 | 200.24 Mn |
| Sep 30, 2023 | 288.59 Mn |
| Jun 30, 2023 | 272.96 Mn |
| Mar 31, 2023 | 271.50 Mn |
| Dec 31, 2022 | 343.56 Mn |
| Sep 30, 2022 | 287.75 Mn |
| Jun 30, 2022 | 268.72 Mn |
| Mar 31, 2022 | 297.71 Mn |
| Dec 31, 2021 | 334.63 Mn |
| Sep 30, 2021 | 313.77 Mn |
API Access
Pitney Bowes Receivables 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=receivables&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();