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Syros Pharmaceuticals, Inc.: filings

Every Syros Pharmaceuticals, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 34 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-Q2024-10-31fiscal Q3 2024351000000950170-24-119236
10-Q2024-07-31fiscal Q2 2024351000000950170-24-088224
10-Q2024-05-14fiscal Q1 202437750000950170-24-059068
10-K2024-03-27fiscal FY 202344870000950170-24-036808
10-Q2023-11-14fiscal Q3 2023381060000950170-23-063340
10-Q2023-08-08fiscal Q2 2023381070000950170-23-039337
10-Q2023-05-10fiscal Q1 202338790000950170-23-020052
10-K2023-03-02fiscal FY 2022451160000950170-23-005702
10-Q2022-11-14fiscal Q3 2022401110000950170-22-024680
10-Q2022-08-09fiscal Q2 2022401110001564590-22-028587
10-Q2022-05-16fiscal Q1 202236750001564590-22-020246
10-K2022-03-15fiscal FY 2021431080001564590-22-010214
10-Q2021-11-05fiscal Q3 2021381000001564590-21-054726
10-Q2021-08-05fiscal Q2 2021381000001564590-21-041169
10-Q2021-05-06fiscal Q1 202137780001564590-21-024498
10-K2021-03-04fiscal FY 2020431650001564590-21-010709
10-Q2020-11-05fiscal Q3 2020381000001564590-20-051239
10-Q2020-08-06fiscal Q2 2020381000001564590-20-037228
10-Q2020-05-07fiscal Q1 202038790001564590-20-022351
10-K2020-03-05fiscal FY 2019421620001564590-20-008795
10-Q2019-11-12fiscal Q3 2019361000001564590-19-042566
10-Q2019-08-01fiscal Q2 2019361000001564590-19-027692
10-Q2019-05-01fiscal Q1 201936760001564590-19-014558
10-K2019-03-07fiscal FY 2018391540001564590-19-006610
10-Q2018-11-01fiscal Q3 201833860001558370-18-008210
10-Q2018-08-07fiscal Q2 201833860001558370-18-006522
10-Q2018-05-10fiscal Q1 201833670001558370-18-004563
10-K2018-03-12fiscal FY 2017361430001558370-18-001860
10-Q2017-11-08fiscal Q3 201730790001558370-17-008480
10-Q2017-08-09fiscal Q2 201730790001558370-17-006412
10-Q2017-05-15fiscal Q1 201727570001558370-17-004335
10-K2017-03-20fiscal FY 2016291250001558370-17-001938
10-Q2016-11-14fiscal Q3 201623630001558370-16-009987
10-Q2016-08-15fiscal Q2 201623640001558370-16-008009

Inspect the source

Entity
Syros Pharmaceuticals, Inc. / CIK 0001556263
Captured
2026-09-21T17:19:52.081Z
SEC response SHA-256
b38e30deae906481c51e5fcc32e3ef3c0aefc44173b9d7a37ce39e45d2ebaf1a

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/0001556263.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"])))