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SBA COMMUNICATIONS CORPORATION: net income or loss

Net income or loss for SBA COMMUNICATIONS CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All SBA COMMUNICATIONS CORPORATION financial histories

What this measure means

Reported profit or loss for the period. Check the filing for attribution, exceptional items and discontinued operations before comparing companies.

Exact concept: us-gaap:NetIncomeLoss. 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 2008-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Net income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-311,053,632,000USD2026-02-2710-K · 0001034054-26-000002
2024-01-012024-12-31749,536,000USD2026-02-2710-K · 0001034054-26-000002
2023-01-012023-12-31501,812,000USD2026-02-2710-K · 0001034054-26-000002
2022-01-012022-12-31461,429,000USD2025-02-2610-K · 0001034054-25-000002
2021-01-012021-12-31237,624,000USD2024-02-2810-K · 0001034054-24-000002
2020-01-012020-12-3124,104,000USD2023-03-0110-K · 0001034054-23-000002
2019-01-012019-12-31146,991,000USD2022-03-0110-K · 0001034054-22-000002
2018-01-012018-12-3147,451,000USD2021-02-2510-K · 0001034054-21-000003
2017-01-012017-12-31103,654,000USD2020-02-2410-K · 0001034054-20-000003
2016-01-012016-12-3176,238,000USD2019-02-2810-K · 0001034054-19-000002
2015-01-012015-12-31-175,656,000USD2018-03-0110-K · 0001034054-18-000003
2014-01-012014-12-31-24,295,000USD2017-03-0110-K · 0001034054-17-000003
2013-01-012013-12-31-55,909,000USD2016-02-2610-K · 0001034054-16-000018
2012-01-012012-12-31-181,037,000USD2015-03-0210-K · 0001034054-15-000004
2011-01-012011-12-31-126,456,000USD2014-02-2710-K · 0001034054-14-000004
2010-01-012010-12-31-194,674,000USD2013-02-2710-K · 0001193125-13-080059
2009-01-012009-12-31-140,871,000USD2012-02-2710-K · 0001193125-12-081211
2008-01-012008-12-31-67,164,000USD2011-02-2510-K · 0001193125-11-047174

Related financial histories

Inspect the source

Entity
SBA COMMUNICATIONS CORPORATION / CIK 0001034054
Captured
2026-09-20T05:14:53.288Z
SEC response SHA-256
1e388b35b987ffb53f980311ded96ffdab64001e55877fe613e46cdad6e576e5

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/0001034054.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"])))