CEDAR REALTY TRUST, INC.: diluted earnings per share
Diluted earnings per share for CEDAR REALTY TRUST, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All CEDAR REALTY TRUST, INC. financial histories
What this measure means
Reported earnings or loss per share under dilution rules. Antidilutive instruments may be excluded. A diluted value can equal the basic value without implying no potential dilution.
Exact concept: us-gaap:EarningsPerShareDiluted. 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 2020-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.
Reading these values
This selected numerical history matches Basic earnings per share for the same reporting intervals and original units. The accounting definitions remain distinct. Equal values do not establish that the concepts are interchangeable or explain why they match; filing dates and accessions may differ. Compare the definitions and source filings before combining them.
Context from the filing
For Cedar’s 2024–2025 figures, EPS uses income attributable to common shareholders after preferred dividends and deemed contributions on preferred stock. In 2025, these allocations produce positive common-shareholder income despite a consolidated net loss; that loss alone cannot explain dilution treatment. The filing labels its EPS policy as basic, while the retained inline facts report equal basic and diluted EPS and share counts. This review confirms that presentation and numerator reconciliation only; it does not establish a reason for the equal diluted figures or carry forward a prior filing’s dilution explanation. All values remain as reported. Read the source filing.
For the selected 2020–2021 figures, Cedar’s EPS reconciliation uses income or loss allocated to vested common shares after participating-share adjustments. The EPS numerator therefore differs from total income or loss attributable to common shareholders. The filing reports no issuable units under the specified performance award at the measurement dates and excludes operating-partnership units and their related numerator amounts because including them would have no dilutive effect. Its FFO diluted share count includes items excluded from EPS; these denominators are not interchangeable. The reported basic and diluted EPS values and vested-share counts are retained without substituting FFO shares. Read the source filing.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | 0.79 | USD/shares | 2026-03-05 | 10-K · 0000761648-26-000008 |
| 2024-01-01 | 2024-12-31 | 0.14 | USD/shares | 2026-03-05 | 10-K · 0000761648-26-000008 |
| 2023-01-01 | 2023-12-31 | -0.64 | USD/shares | 2025-03-04 | 10-K · 0000761648-25-000019 |
| 2022-01-01 | 2022-12-31 | 2.48 | USD/shares | 2024-03-05 | 10-K · 0000761648-24-000010 |
| 2021-01-01 | 2021-12-31 | -4.24 | USD/shares | 2023-03-02 | 10-K · 0000950170-23-005812 |
| 2020-01-01 | 2020-12-31 | -0.92 | USD/shares | 2023-03-02 | 10-K · 0000950170-23-005812 |
Related financial histories
- CEDAR REALTY TRUST, INC.: total assets
- CEDAR REALTY TRUST, INC.: total liabilities
- CEDAR REALTY TRUST, INC.: stockholders equity
- CEDAR REALTY TRUST, INC.: cash and cash equivalents
- CEDAR REALTY TRUST, INC.: net income or loss
- CEDAR REALTY TRUST, INC.: operating cash flow
- CEDAR REALTY TRUST, INC.: revenue
- CEDAR REALTY TRUST, INC.: contract revenue excluding tax
- CEDAR REALTY TRUST, INC.: financing cash flow
- CEDAR REALTY TRUST, INC.: investing cash flow
- CEDAR REALTY TRUST, INC.: basic weighted-average shares
- CEDAR REALTY TRUST, INC.: diluted weighted-average shares
- CEDAR REALTY TRUST, INC.: basic earnings per share
- CEDAR REALTY TRUST, INC.: net property, plant and equipment
- CEDAR REALTY TRUST, INC.: share-based compensation expense
- CEDAR REALTY TRUST, INC.: operating income or loss
- CEDAR REALTY TRUST, INC.: interest expense
- CEDAR REALTY TRUST, INC.: operating expenses
Inspect the source
- Entity
- CEDAR REALTY TRUST, INC. / CIK 0000761648
- Captured
- 2026-09-19T15:02:20.821Z
- SEC response SHA-256
dbcce42a16a42a13e297263e7e6f4477ce22ddf0a881b5df29c7b785e0ed456f
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
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000761648.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"])))