Skip to content

Spero Therapeutics, Inc.: filings

Every Spero Therapeutics, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 36 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-Q2026-08-12fiscal Q2 202629920001193125-26-346795
10-Q2026-05-13fiscal Q1 202629600001193125-26-221591
10-K2026-03-26fiscal FY 202536740001193125-26-126192
10-Q2025-11-13fiscal Q3 202531980001193125-25-280174
10-Q2025-08-12fiscal Q2 202530940000950170-25-107388
10-Q2025-05-13fiscal Q1 202529600000950170-25-070380
10-K2025-03-27fiscal FY 202442850000950170-25-046125
10-Q2024-11-14fiscal Q3 2024341040000950170-24-127016
10-Q2024-08-05fiscal Q2 2024321000000950170-24-090782
10-Q2024-05-15fiscal Q1 202432660000950170-24-060400
10-K2024-03-13fiscal FY 202343870000950170-24-030767
10-Q2023-11-13fiscal Q3 2023391180000950170-23-062897
10-Q2023-08-10fiscal Q2 2023371120000950170-23-041314
10-Q2023-05-11fiscal Q1 202337760000950170-23-021187
10-K2023-03-30fiscal FY 202242850000950170-23-010921
10-Q2022-11-14fiscal Q3 2022371120000950170-22-024971
10-Q2022-08-10fiscal Q2 2022371120000950170-22-016443
10-Q2022-05-16fiscal Q1 202233670000950170-22-010064
10-K2022-03-31fiscal FY 202140810000950170-22-005194
10-Q2021-11-10fiscal Q3 202134980000950170-21-004064
10-Q2021-08-05fiscal Q2 202134980000950170-21-000924
10-Q2021-05-06fiscal Q1 202134670001564590-21-024932
10-K2021-03-11fiscal FY 202040810001564590-21-012514
10-Q2020-11-05fiscal Q3 2020371020001564590-20-051279
10-Q2020-08-06fiscal Q2 2020371020001564590-20-037710
10-Q2020-05-08fiscal Q1 202037730001564590-20-023243
10-K2020-03-16fiscal FY 201939940001564590-20-010998
10-Q2019-11-04fiscal Q3 201935890001564590-19-039770
10-Q2019-08-08fiscal Q2 201935890001564590-19-030746
10-Q2019-05-09fiscal Q1 201935650001564590-19-017941
10-K2019-03-14fiscal FY 2018351200001564590-19-007805
10-Q2018-11-08fiscal Q3 201831830001564590-18-028526
10-Q2018-08-09fiscal Q2 201830830001564590-18-021018
10-Q2018-05-10fiscal Q1 201827580001564590-18-012933
10-K2018-04-02fiscal FY 2017281040001564590-18-007402
10-Q2017-12-14fiscal Q3 201725690001193125-17-369457

Inspect the source

Entity
Spero Therapeutics, Inc. / CIK 0001701108
Captured
2026-09-21T17:23:59.573Z
SEC response SHA-256
7d8d28a786cc1f9d14a78b641809cfb8611771dec1312fb75a17633e4e3e7a24

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/0001701108.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"])))