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BROAD STREET REALTY, INC.: operating income or loss

Operating income or loss for BROAD STREET REALTY, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All BROAD STREET REALTY, INC. financial histories

What this measure means

Operating revenue less operating expenses for the reporting period. It excludes items outside the reported operating result and is not free cash flow.

Exact concept: us-gaap:OperatingIncomeLoss. 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 2010-01-01 to 2024-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Operating income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-01-012024-12-31-292,000USD2025-03-2810-K · 0000950170-25-046840
2023-01-012023-12-315,380,000USD2025-03-2810-K · 0000950170-25-046840
2022-01-012022-12-31-8,822,000USD2024-04-0110-K · 0000950170-24-039408
2021-01-012021-12-31-6,064,000USD2023-05-0110-K · 0000950170-23-015962
2020-01-012020-12-31-5,110,000USD2022-04-1510-K · 0000950170-22-005732
2019-01-012019-12-31-1,608,000USD2021-04-1510-K · 0001564590-21-018959
2018-01-012018-12-31-1,713,000USD2020-12-2210-K · 0001564590-20-058064
2017-01-012017-12-31-698,774USD2019-04-1110-K · 0001437749-19-007007
2016-01-012016-12-31-859,401USD2018-04-0210-K · 0001437749-18-006027
2015-01-012015-12-31-1,104,478USD2017-03-3110-K · 0001144204-17-018149
2014-01-012014-12-31-7,000,404USD2016-03-2210-K · 0001144204-16-089482
2013-01-012013-12-31-505,976USD2015-03-2510-K · 0001144204-15-018397
2012-01-012012-12-31-7,906,445USD2013-03-2510-K · 0001144204-13-017248
2011-01-012011-12-31-512,550USD2013-03-2510-K · 0001144204-13-017248
2010-01-012010-12-31-991,266USD2012-03-2810-K · 0001144204-12-017622

Related financial histories

Inspect the source

Entity
BROAD STREET REALTY, INC. / CIK 0000764897
Captured
2026-09-21T17:16:56.830Z
SEC response SHA-256
d79a01f78ada28dddbcdc1d1eb43c297f7212de08980da97f8e2d7d1b9ff2b9f

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/0000764897.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"])))