FEDERAL HOME LOAN BANK OF PITTSBURGH: cash including restricted cash
Cash including restricted cash for FEDERAL HOME LOAN BANK OF PITTSBURGH. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All FEDERAL HOME LOAN BANK OF PITTSBURGH financial histories
What this measure means
Cash, cash equivalents and restricted cash as reported in the cash flow reconciliation. Restricted amounts are not freely available, so this is not the same as unrestricted cash.
Exact concept: us-gaap:CashCashEquivalentsRestrictedCashAndRestrictedCashEquivalents. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2015-12-31 to 2025-12-31. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2025-12-31 | 32,585,000 | USD | 2026-03-04 | 10-K · 0001330399-26-000020 |
| At date | 2024-12-31 | 17,340,000 | USD | 2026-03-04 | 10-K · 0001330399-26-000020 |
| At date | 2023-12-31 | 11,509,000 | USD | 2026-03-04 | 10-K · 0001330399-26-000020 |
| At date | 2022-12-31 | 13,242,000 | USD | 2026-03-04 | 10-K · 0001330399-26-000020 |
| At date | 2021-12-31 | 428,190,000 | USD | 2025-03-05 | 10-K · 0001330399-25-000010 |
| At date | 2020-12-31 | 1,036,459,000 | USD | 2024-03-06 | 10-K · 0001330399-24-000008 |
| At date | 2019-12-31 | 21,490,000 | USD | 2023-03-08 | 10-K · 0001330399-23-000009 |
| At date | 2018-12-31 | 71,320,000 | USD | 2022-03-09 | 10-K · 0001330399-22-000010 |
| At date | 2017-12-31 | 3,414,992,000 | USD | 2021-03-09 | 10-K · 0001330399-21-000010 |
| At date | 2016-12-31 | 3,587,605,000 | USD | 2020-03-10 | 10-K · 0001330399-20-000008 |
| At date | 2015-12-31 | 2,376,964,000 | USD | 2019-03-11 | 10-K · 0001330399-19-000006 |
Related financial histories
- FEDERAL HOME LOAN BANK OF PITTSBURGH: total assets
- FEDERAL HOME LOAN BANK OF PITTSBURGH: total liabilities
- FEDERAL HOME LOAN BANK OF PITTSBURGH: stockholders equity
- FEDERAL HOME LOAN BANK OF PITTSBURGH: cash and cash equivalents
- FEDERAL HOME LOAN BANK OF PITTSBURGH: operating cash flow
- FEDERAL HOME LOAN BANK OF PITTSBURGH: financing cash flow
- FEDERAL HOME LOAN BANK OF PITTSBURGH: investing cash flow
- FEDERAL HOME LOAN BANK OF PITTSBURGH: retained earnings or deficit
- FEDERAL HOME LOAN BANK OF PITTSBURGH: basic weighted-average shares
- FEDERAL HOME LOAN BANK OF PITTSBURGH: basic earnings per share
- FEDERAL HOME LOAN BANK OF PITTSBURGH: net property, plant and equipment
- FEDERAL HOME LOAN BANK OF PITTSBURGH: interest expense
- FEDERAL HOME LOAN BANK OF PITTSBURGH: common-stock repurchase payments
- FEDERAL HOME LOAN BANK OF PITTSBURGH: common shares outstanding
- FEDERAL HOME LOAN BANK OF PITTSBURGH: accumulated other comprehensive income or loss
- FEDERAL HOME LOAN BANK OF PITTSBURGH: operating lease right-of-use asset
- FEDERAL HOME LOAN BANK OF PITTSBURGH: operating lease liability
- FEDERAL HOME LOAN BANK OF PITTSBURGH: gross property, plant and equipment
- FEDERAL HOME LOAN BANK OF PITTSBURGH: accumulated depreciation on property, plant and equipment
- FEDERAL HOME LOAN BANK OF PITTSBURGH: pre-tax income or loss from continuing operations
- FEDERAL HOME LOAN BANK OF PITTSBURGH: profit or loss including noncontrolling interests
- FEDERAL HOME LOAN BANK OF PITTSBURGH: comprehensive income or loss
- FEDERAL HOME LOAN BANK OF PITTSBURGH: net income available to common stockholders
- FEDERAL HOME LOAN BANK OF PITTSBURGH: depreciation, depletion and amortization
- FEDERAL HOME LOAN BANK OF PITTSBURGH: interest paid, net
- FEDERAL HOME LOAN BANK OF PITTSBURGH: proceeds from issuing common stock
Inspect the source
- Entity
- FEDERAL HOME LOAN BANK OF PITTSBURGH / CIK 0001330399
- Captured
- 2026-09-21T17:17:44.653Z
- SEC response SHA-256
20a5a4fba9e1ce2cf2c50d6bd434e52bf66a24e5eb12886c2606631cf66d93a1
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/0001330399.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"])))