PITNEY BOWES INC: revenue
Revenue for PITNEY BOWES INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All PITNEY BOWES INC financial histories
What this measure means
Revenue under this specific accounting concept. A missing value is not zero; filers can use other revenue concepts.
Exact concept: us-gaap:Revenues. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2007-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | 1,892,629,000 | USD | 2026-02-20 | 10-K/A · 0001628280-26-009921 |
| 2024-01-01 | 2024-12-31 | 2,026,598,000 | USD | 2026-02-20 | 10-K/A · 0001628280-26-009921 |
| 2023-01-01 | 2023-12-31 | 2,078,925,000 | USD | 2026-02-20 | 10-K/A · 0001628280-26-009921 |
| 2022-01-01 | 2022-12-31 | 2,482,883,000 | USD | 2025-02-21 | 10-K · 0000078814-25-000015 |
| 2021-01-01 | 2021-12-31 | 3,673,561,000 | USD | 2024-02-20 | 10-K · 0000078814-24-000004 |
| 2020-01-01 | 2020-12-31 | 3,554,075,000 | USD | 2023-02-17 | 10-K · 0000078814-23-000012 |
| 2019-01-01 | 2019-12-31 | 3,205,125,000 | USD | 2022-02-22 | 10-K · 0000078814-22-000004 |
| 2018-01-01 | 2018-12-31 | 3,211,522,000 | USD | 2021-02-19 | 10-K · 0000078814-21-000011 |
| 2017-01-01 | 2017-12-31 | 2,784,007,000 | USD | 2020-02-20 | 10-K · 0000078814-20-000009 |
| 2016-01-01 | 2016-12-31 | 2,981,323,000 | USD | 2019-02-20 | 10-K · 0000078814-19-000004 |
| 2015-01-01 | 2015-12-31 | 3,578,060,000 | USD | 2018-02-22 | 10-K · 0000078814-18-000004 |
| 2014-01-01 | 2014-12-31 | 3,821,504,000 | USD | 2017-02-22 | 10-K · 0000078814-17-000003 |
| 2013-01-01 | 2013-12-31 | 3,791,335,000 | USD | 2016-02-22 | 10-K · 0000078814-16-000040 |
| 2012-01-01 | 2012-12-31 | 3,823,713,000 | USD | 2015-02-20 | 10-K · 0000078814-15-000006 |
| 2011-01-01 | 2011-12-31 | 4,125,341,000 | USD | 2014-02-21 | 10-K · 0000078814-14-000003 |
| 2010-01-01 | 2010-12-31 | 5,260,356,000 | USD | 2013-02-25 | 10-K · 0000078814-13-000006 |
| 2009-01-01 | 2009-12-31 | 5,569,171,000 | USD | 2012-02-23 | 10-K · 0000930413-12-001035 |
| 2008-01-01 | 2008-12-31 | 6,262,305,000 | USD | 2011-02-28 | 10-K · 0000930413-11-001280 |
| 2007-01-01 | 2007-12-31 | 6,129,795,000 | USD | 2010-02-26 | 10-K · 0000930413-10-001062 |
Related financial histories
- PITNEY BOWES INC: total assets
- PITNEY BOWES INC: total liabilities
- PITNEY BOWES INC: stockholders equity
- PITNEY BOWES INC: cash and cash equivalents
- PITNEY BOWES INC: net income or loss
- PITNEY BOWES INC: operating cash flow
- PITNEY BOWES INC: capital expenditure payments
- PITNEY BOWES INC: financing cash flow
- PITNEY BOWES INC: investing cash flow
- PITNEY BOWES INC: retained earnings or deficit
- PITNEY BOWES INC: basic weighted-average shares
- PITNEY BOWES INC: diluted weighted-average shares
- PITNEY BOWES INC: basic earnings per share
- PITNEY BOWES INC: diluted earnings per share
- PITNEY BOWES INC: income tax expense or benefit
- PITNEY BOWES INC: net property, plant and equipment
- PITNEY BOWES INC: share-based compensation expense
- PITNEY BOWES INC: current assets
- PITNEY BOWES INC: interest expense
- PITNEY BOWES INC: current liabilities
- PITNEY BOWES INC: goodwill carrying amount
- PITNEY BOWES INC: net finite-lived intangible assets
- PITNEY BOWES INC: net current accounts receivable
- PITNEY BOWES INC: common-stock repurchase payments
- PITNEY BOWES INC: operating expenses
- PITNEY BOWES INC: net inventory
- PITNEY BOWES INC: cost of revenue
- PITNEY BOWES INC: selling, general and administrative expense
- PITNEY BOWES INC: research and development expense
Inspect the source
- Entity
- PITNEY BOWES INC / CIK 0000078814
- Captured
- 2026-09-19T14:51:13.478Z
- SEC response SHA-256
aa76407aa171efe6302fba30ed8486311a13d17b9102b43fb4c15a692065426e
Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON
Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.
Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.
Use this in research
A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.
These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.
Research methodology · Execution and cost assumptions · Check backtest overfitting
Build with the open-source tools
Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.
- Get an API key and run your first validation
- Connect the MCP server to your coding assistant
- Inspect the ALPHAC engine on GitHub
- Read the MCP server source and integration examples
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000078814.json") as response:
record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
print(concept["tag"], next(iter(concept["observations"])))