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Arbor Realty Trust, Inc.: basic earnings per share

Basic earnings per share for Arbor Realty Trust, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Arbor Realty Trust, Inc. financial histories

What this measure means

Reported earnings or loss per basic common share or unit. Inspect attribution, share classes and restatements before comparing periods. This is not a market return.

Exact concept: us-gaap:EarningsPerShareBasic. 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Basic earnings per share in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-310.56USD/shares2026-02-2710-K · 0001253986-26-000019
2024-01-012024-12-311.18USD/shares2026-02-2710-K · 0001253986-26-000019
2023-01-012023-12-311.79USD/shares2026-02-2710-K · 0001253986-26-000019
2022-01-012022-12-311.72USD/shares2025-02-2110-K · 0001628280-25-007183
2021-01-012021-12-312.3USD/shares2024-02-2010-K · 0001628280-24-005456
2020-01-012020-12-311.44USD/shares2023-02-1710-K · 0001104659-23-023097
2019-01-012019-12-311.3USD/shares2022-02-1810-K · 0001104659-22-024981
2018-01-012018-12-311.54USD/shares2021-02-1910-K · 0001104659-21-025551
2017-01-012017-12-311.14USD/shares2020-02-1410-K · 0001047469-20-000885
2016-01-012016-12-310.83USD/shares2019-02-1510-K · 0001047469-19-000508
2015-01-012015-12-310.9USD/shares2018-02-2310-K · 0001047469-18-000985
2014-01-012014-12-311.71USD/shares2017-03-0310-K · 0001047469-17-001214
2013-01-012013-12-310.39USD/shares2016-02-2610-K · 0001047469-16-010477
2012-01-012012-12-310.8USD/shares2015-02-1310-K · 0001047469-15-000780
2011-01-012011-12-31-1.61USD/shares2014-02-1410-K · 0001047469-14-000903
2010-01-012010-12-314.44USD/shares2013-02-1510-K · 0001047469-13-001165
2009-01-012009-12-31-9.11USD/shares2012-03-0210-K · 0001047469-12-002036

Related financial histories

Inspect the source

Entity
Arbor Realty Trust, Inc. / CIK 0001253986
Captured
2026-09-20T07:46:51.196Z
SEC response SHA-256
90e87afdf6869ed20d7914ba6b4866fd1528cfe32df260ea75d3b415e99810f2

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.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001253986.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"])))