fundamentals
indian-stocks-comprehensive-fundamentals-dataset
Indian Stocks Comprehensive Fundamentals Dataset
From screener.in | 5703 Stocks | 375.33 MB+ Data | Weekly Updates
Highlights :
Total Number of stocks : 5703
Dataset Size : 375.33 MB
Status :
last updated on Friday, 25 Sep 2026 21:39:54 +0000
Usage Notes :
They are stored in 5703 individual files.
[stockname].json means all data related to that stock.
For example, titan.json contains all available fundamental data… See the full description on the dataset page: https://huggingface.co/datasets/AYUSHKHAIRE/indian-stocks-comprehensive-fundamentals-dataset.company-fundamentals
US Company Fundamentals — as reported, point in time
Every number every US public company filed in XBRL since 2009, kept as it was
filed, with the timestamp it became public.
16 206 companies · 433 717 filings · 97.9M facts · 2009-04-15 to 2026-06-30
The pipeline that produces this dataset lives in recipe/ inside
this repository, at the same revision as the data. Nothing was assembled by
hand — see PIPELINE.md for the method and for what it refuses
to do.
The one… See the full description on the dataset page: https://huggingface.co/datasets/ZipLime/company-fundamentals.point-in-time-us-equity-fundamentals-sample
Tradevo Data — honest point-in-time US equity fundamentals
Fundamentals with filed-date stamps, so a backtest only sees what was public — and restatements are flagged, not silently applied.
A deliberately small public proof pack of point-in-time US equity fundamentals, built from SEC EDGAR.
Every value is stamped with the date it first became public (first_filed), so a join that
filters by first_filed <= as_of only sees what was knowable on that date — and later
revisions are… See the full description on the dataset page: https://huggingface.co/datasets/Tradevodata/point-in-time-us-equity-fundamentals-sample.financial-fundamentals
financial-fundamentals
SEC EDGAR XBRL fundamentals for US-listed and foreign issuers, refreshed weekly
from the financial-data-pipeline (fundamentals_pipeline.py + curated.py +
build_fundamentals_dataset.py).
Built: 2026-09-13T13:00:32Z UTC
Files
file
rows
grain
facts.parquet
5,228,410
one row per fact (cik, metric, period, unit)
companies.parquet
17,002
one row per CIK
filings.parquet
419,938
one row per accession x fiscal period… See the full description on the dataset page: https://huggingface.co/datasets/ZanderL1337/financial-fundamentals.japan-stock-fundamentals-core30
Japan TOPIX Core30 Fundamentals — 5-Year Financial Statements (EDINET, English keys)
A clean japan stock fundamentals dataset: 5 fiscal years of normalized financial statements
for the TOPIX Core30 constituents — the largest japanese listed companies by market
capitalization (Toyota, Sony, MUFG, Fast Retailing, and more) — extracted from official
EDINET filings (Japan Financial Services Agency) and mapped to stable English column keys.
No Japanese reading and no XBRL parsing… See the full description on the dataset page: https://huggingface.co/datasets/nevirim/japan-stock-fundamentals-core30.finance-fundamentals-10k-24-04-2023