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NOMAD POWER SOLUTIONS, INC.: net income or loss

Net income or loss for NOMAD POWER SOLUTIONS, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All NOMAD POWER SOLUTIONS, INC. 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 2006-01-01 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
2025-01-012025-12-31-6,078,593USD2026-03-3110-K · 0001493152-26-014052
2024-01-012024-12-31-3,585,965USD2026-03-3110-K · 0001493152-26-014052
2023-01-012023-12-31-5,087,029USD2025-03-2410-K · 0001641172-25-000208
2022-01-012022-12-31-6,312,535USD2024-03-1910-K · 0001493152-24-010427
2021-01-012021-12-31-6,728,396USD2023-03-2910-K · 0001493152-23-009386
2020-01-012020-12-31-3,264,882USD2022-03-2110-K · 0001493152-22-007327
2019-01-012019-12-31-2,440,343USD2021-03-2610-K · 0001493152-21-006882
2018-01-012018-12-31-2,133,128USD2020-03-2510-K · 0001493152-20-004697
2017-01-012017-12-31-1,808,414USD2019-03-2510-K · 0001493152-19-003870
2016-01-012016-12-31-2,134,732USD2018-03-2310-K · 0001493152-18-003806
2015-01-012015-12-31-2,852,108USD2017-03-2910-K · 0001493152-17-002940
2014-01-012014-12-31-2,766,188USD2016-03-2810-K · 0001493152-16-008321
2013-01-012013-12-31-1,374,842USD2015-03-2710-K · 0001493152-15-001047
2012-01-012012-12-31-3,579,366USD2014-03-2110-K · 0001144204-14-017092
2011-01-012011-12-31-2,067,964USD2014-03-2110-K · 0001144204-14-017092
2010-01-012010-12-31-880,250USD2014-03-2110-K · 0001144204-14-017092
2009-01-012009-12-31-1,551,333USD2014-03-2110-K · 0001144204-14-017092
2008-01-012008-12-31-1,271,522USD2014-03-2110-K · 0001144204-14-017092
2007-01-012007-12-31-1,648,488USD2014-03-2110-K · 0001144204-14-017092
2006-01-012006-12-31-562,084USD2014-03-2110-K · 0001144204-14-017092

Related financial histories

Inspect the source

Entity
NOMAD POWER SOLUTIONS, INC. / CIK 0001335105
Captured
2026-09-20T07:53:41.347Z
SEC response SHA-256
9dadd314c5f938c896866f94627793a4a0cff372df55dd731da666d6172b54b0

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/0001335105.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"])))