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AquaBounty Technologies, Inc.: filings

Every AquaBounty Technologies, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 38 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-Q2026-08-06fiscal Q2 202628820001603978-26-000084
10-Q2026-05-07fiscal Q1 202628570001603978-26-000066
10-K2026-03-31fiscal FY 202536680001603978-26-000029
10-Q2025-10-28fiscal Q3 2025401090001603978-25-000069
10-Q2025-08-05fiscal Q2 2025401060001603978-25-000056
10-Q2025-05-15fiscal Q1 202540780001603978-25-000038
10-K2025-03-27fiscal FY 202442840001603978-25-000014
10-Q2024-11-05fiscal Q3 2024451300001603978-24-000072
10-Q2024-08-06fiscal Q2 2024451260001603978-24-000061
10-Q2024-05-15fiscal Q1 202445940001603978-24-000036
10-K2024-04-01fiscal FY 202347950001603978-24-000013
10-Q2023-11-07fiscal Q3 2023451280001603978-23-000060
10-Q2023-08-01fiscal Q2 2023451240001603978-23-000036
10-Q2023-05-04fiscal Q1 202345940001603978-23-000026
10-K2023-03-07fiscal FY 202246930001603978-23-000007
10-Q2022-11-08fiscal Q3 2022421130001603978-22-000049
10-Q2022-08-09fiscal Q2 2022411080001603978-22-000038
10-Q2022-05-05fiscal Q1 202242880001603978-22-000022
10-K2022-03-10fiscal FY 202143900001603978-22-000011
10-Q2021-11-04fiscal Q3 2021421150001603978-21-000065
10-Q2021-08-04fiscal Q2 2021421110001603978-21-000050
10-Q2021-05-04fiscal Q1 202141870001603978-21-000026
10-K2021-03-09fiscal FY 2020451400001603978-21-000015
10-Q2020-11-03fiscal Q3 2020411110001603978-20-000129
10-Q2020-08-06fiscal Q2 2020411080001603978-20-000099
10-Q2020-05-05fiscal Q1 202041860001603978-20-000083
10-K2020-03-10fiscal FY 2019441390001603978-20-000052
10-Q2019-11-05fiscal Q3 2019411140001603978-19-000088
10-Q2019-08-06fiscal Q2 2019401080001603978-19-000084
10-Q2019-05-02fiscal Q1 201940840001603978-19-000065
10-K2019-03-07fiscal FY 2018401300001603978-19-000016
10-Q2018-11-02fiscal Q3 201838980001603978-18-000064
10-Q2018-08-07fiscal Q2 201838980001603978-18-000052
10-Q2018-05-08fiscal Q1 201838780001603978-18-000047
10-K2018-03-08fiscal FY 2017381160001603978-18-000025
10-Q2017-11-02fiscal Q3 201738980001603978-17-000056
10-Q2017-08-04fiscal Q2 201738980001603978-17-000049
10-Q2017-05-09fiscal Q1 201737760001603978-17-000035

Inspect the source

Entity
AquaBounty Technologies, Inc. / CIK 0001603978
Captured
2026-09-20T09:25:44.830Z
SEC response SHA-256
4542c3ba47f15e5a7069768ca61be35974ade6f1cabc6b1a9e7f6024209e57af

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/0001603978.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"])))