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Neuronetics, Inc.: filings

Every Neuronetics, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 33 filings, each linked to its SEC index.

Filings with published measures

Each page shows what one filing reported, as tagged in that filing, with the periods it covered. Later filings can restate a value; the company overview shows the latest-filed value per period.

FormFiledFiscal periodMeasuresFactsSEC accession
10-Q2026-08-11fiscal Q2 2026511400001104659-26-094078
10-Q2026-05-05fiscal Q1 2026521060001104659-26-055322
10-K2026-03-17fiscal FY 2025531360001104659-26-029004
10-Q2025-11-04fiscal Q3 2025501430001104659-25-105924
10-Q2025-08-05fiscal Q2 2025511390001558370-25-010180
10-Q2025-05-06fiscal Q1 2025511050001558370-25-006384
10-K2025-03-27fiscal FY 2024531320001558370-25-003833
10-Q2024-11-12fiscal Q3 2024451280001558370-24-015160
10-Q2024-08-12fiscal Q2 2024451230001558370-24-011800
10-Q2024-05-07fiscal Q1 202445930001558370-24-007073
10-K2024-03-08fiscal FY 2023491230001558370-24-002772
10-Q2023-11-07fiscal Q3 2023451280001558370-23-018015
10-Q2023-08-08fiscal Q2 2023451240001558370-23-013962
10-Q2023-05-15fiscal Q1 202345940001558370-23-009884
10-K2023-03-07fiscal FY 2022491250001558370-23-003044
10-Q2022-11-08fiscal Q3 2022461290001558370-22-016892
10-Q2022-08-02fiscal Q2 2022461250001558370-22-011660
10-Q2022-05-12fiscal Q1 202246950001558370-22-008584
10-K2022-03-08fiscal FY 2021491250001558370-22-003069
10-Q2021-11-09fiscal Q3 2021461290001558370-21-015312
10-Q2021-08-03fiscal Q2 2021461250001558370-21-010002
10-Q2021-05-04fiscal Q1 202142870001558370-21-005720
10-K2021-03-02fiscal FY 2020461920001564590-21-010320
10-Q2020-11-02fiscal Q3 2020411120001564590-20-049691
10-Q2020-08-04fiscal Q2 2020411080001564590-20-036161
10-Q2020-05-05fiscal Q1 202041860001564590-20-021268
10-K2020-03-03fiscal FY 2019471920001564590-20-008464
10-Q2019-11-05fiscal Q3 2019411100001564590-19-040392
10-Q2019-08-06fiscal Q2 2019411060001564590-19-029364
10-Q2019-05-07fiscal Q1 201940820001564590-19-016516
10-K2019-03-05fiscal FY 2018421910001564590-19-006276
10-Q2018-11-06fiscal Q3 2018391050001564590-18-027435
10-Q2018-08-14fiscal Q2 2018391030001564590-18-021702

Inspect the source

Entity
Neuronetics, Inc. / CIK 0001227636
Captured
2026-09-20T07:46:20.001Z
SEC response SHA-256
dcdb8ba5f0cefabeaf77b7363d1e812344193a011fab40162092f562c9316dfd

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Every published concept a filing tagged, with the periods it covered, as reported in that filing at capture time. Forms 10-K, 10-K/A, 10-Q, 10-Q/A, 20-F, 20-F/A, 40-F, 40-F/A. A filing page needs at least 8 published concepts. Later filings can restate these values; the company history pages show the latest-filed value per period.

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/0001227636.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"])))