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Quanterix Corporation: filings

Every Quanterix Corporation annual and quarterly report in the SEC record with the published financial measures it tagged, 37 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-Q2026-08-10fiscal Q2 2026481390001503274-26-000036
10-Q2026-05-06fiscal Q1 2026481010001503274-26-000021
10-K2026-03-02fiscal FY 2025551400001503274-26-000013
10-Q2025-11-10fiscal Q3 2025481420001503274-25-000106
10-Q2025-08-07fiscal Q2 2025481380001503274-25-000091
10-Q2025-05-12fiscal Q1 2025481000001503274-25-000054
10-K2025-03-17fiscal FY 2024531370001503274-25-000031
10-Q2024-12-26fiscal Q3 2024451340001503274-24-000031
10-Q/A2024-12-26fiscal Q2 2024451300001503274-24-000029
10-Q/A2024-12-26fiscal Q1 202445940001503274-24-000027
10-K/A2024-12-26fiscal FY 2023555020001503274-24-000025
10-Q2024-08-08fiscal Q2 2024451300001503274-24-000008
10-Q2024-05-08fiscal Q1 202445940001558370-24-007299
10-K2024-02-29fiscal FY 2023551400001558370-24-002205
10-Q2023-11-08fiscal Q3 2023461300001558370-23-018091
10-Q2023-08-08fiscal Q2 2023461290001558370-23-013792
10-Q2023-05-09fiscal Q1 202345950001558370-23-008898
10-K2023-03-06fiscal FY 2022561430001558370-23-002855
10-Q2022-11-09fiscal Q3 2022481360001558370-22-017046
10-Q2022-08-08fiscal Q2 2022471330001558370-22-012637
10-Q2022-05-10fiscal Q1 202247970001558370-22-008128
10-K2022-03-01fiscal FY 2021561460001558370-22-002489
10-Q2021-11-04fiscal Q3 2021511440001558370-21-014634
10-Q2021-08-05fiscal Q2 2021471270001558370-21-010609
10-Q2021-05-06fiscal Q1 202147970001558370-21-006011
10-K2021-03-05fiscal FY 2020572360001558370-21-002469
10-Q2020-11-06fiscal Q3 2020521420001558370-20-013107
10-Q2020-08-04fiscal Q2 2020491260001558370-20-009206
10-Q2020-05-07fiscal Q1 202048970001558370-20-005635
10-K2020-03-13fiscal FY 2019532050001558370-20-002676
10-Q2019-11-08fiscal Q3 2019461230001558370-19-010540
10-Q2019-08-06fiscal Q2 2019431160001558370-19-007193
10-Q2019-05-10fiscal Q1 201942900001104659-19-028636
10-K2019-03-18fiscal FY 2018491740001047469-19-001374
10-Q2018-11-07fiscal Q3 2018411010001104659-18-066642
10-Q2018-08-10fiscal Q2 201839930001104659-18-051172
10-Q2018-05-15fiscal Q1 201839750001104659-18-033440

Inspect the source

Entity
Quanterix Corporation / CIK 0001503274
Captured
2026-09-20T09:11:54.221Z
SEC response SHA-256
0567e5301d075e810075880fb0b6519976642adf250f705aefd7906134fbfc48

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/0001503274.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"])))