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FDIC Quarterly Bank Financials Data Monitor

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$5.00 / 1,000 fdic results

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FDIC Quarterly Bank Financials Data Monitor

FDIC Quarterly Bank Financials Data Monitor

Check quarterly FDIC bank financials by report date or certificate. Review assets, deposits, equity, net income, ratios, units, and source provenance.

Pricing

$5.00 / 1,000 fdic results

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Ledger Star

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FDIC Quarterly Bank Financials

bank-financials by Ledgerstar

Give bank-data analysts a weekly check for newly published quarterly statements, with source-reported FDIC figures, explicit report dates, units, and provenance. Weekly checks do not imply weekly financial statements.

What you get

  • Institution financial rows identified by FDIC certificate and exact calendar quarter.
  • Assets, deposits, equity, net income, and published return ratios in clearly labeled units.
  • Bounded quarter snapshots or retained content-version monitoring with row provenance and scan status.

What data you get

One successful output row represents one institution for one report quarter. FDIC amounts are expressed in thousands of US dollars by the API; ratio fields are percentages. Missing or nonnumeric measures stay null and are never converted to zero. Invalid source rows create uncharged diagnostics without raw source payloads.

FieldWhat it means
bankCertificateFDIC certificate number identifying the institution.
businessNameInstitution name reported by FDIC.
reportDateCalendar quarter-end date in YYYY-MM-DD form.
assetsThousandsUsdTotal assets, thousands of US dollars.
depositsThousandsUsdDeposits, thousands of US dollars.
equityThousandsUsdEquity, thousands of US dollars.
netIncomeThousandsUsdFDIC NETINC, thousands of US dollars; may be cumulative year-to-date, not a single-quarter amount.
returnOnAssetsPercentFDIC return-on-assets percentage.
returnOnEquityPercentFDIC return-on-equity percentage.
statusok for a valid row or source_error for an uncharged diagnostic.
errorPlain diagnostic explanation; null for valid rows.
sourceSource label identifying FDIC financials.
sourceUrlOfficial API endpoint used to retrieve the row.
retrievedAtUTC time the Actor retrieved and handled the row.
scrapedAtUTC time the run began.
sourceUpdatedAtNull; this endpoint has no verified row-level revision timestamp.
indexUpdatedAtSource index creation time, not a financial statement revision date.
freshnessDaysNull because no meaningful row-level update timestamp is available.
recordVersionHash of normalized business values, excluding retrieval and index timestamps.
dedupeIdCertificate, report quarter, and content version for retained monitoring.

Quick start

  1. Open the Actor in Apify Console and use latest, or select a calendar quarter end such as 2026-06-30.
  2. Optionally enter FDIC certificate strings to limit institutions; leave the list empty for the selected report quarter across institutions.
  3. Start the Actor, confirm the report quarter and scan completion, then export JSON, CSV, or Excel.

A measured Apify run on September 29, 2026 resolved latest to the June 30, 2026 report quarter. It used 20 source rows in total: one metadata lookup plus 19 financial records, then stopped at the scan cap (complete: false). It saved 19 records and recorded exactly 19 result events in 10.776 seconds. The first saved record appears below. This capped output is not a complete quarter census. At the listed $0.005 per result, those 19 saved rows cost $0.095 for a paying customer; future runs depend on the records actually delivered.

Who uses it

  • Banking analysts assemble source-linked quarterly balance-sheet reference data.
  • Risk and compliance teams compare published institution figures while verifying the underlying FDIC filing.
  • Data engineers load stable quarter keys and null-safe measures into a scheduled warehouse process.

Input

InputPurpose
reportDatelatest (default) or an actual quarter end in YYYY-MM-DD form.
certificatesOptional numeric FDIC certificate strings.
newSinceoff repeats quarter snapshots; lastRun suppresses retained identical versions.
maxItemsSuccessfully delivered result cap, 1 to 10,000; default 20.

Tips for good input

  • Good: "reportDate": "2026-06-30". Bad: "reportDate": "2026-06-15"; only quarter ends are supported.
  • Good: "certificates": ["3511"]. Bad: a bank name; use the official numeric identifier.
  • Good: "reportDate": "latest" to read the newest available quarter. Bad: assume a weekly schedule creates weekly financial statements.

Sample output

Quarterly financial sample table

The JSON row below is the first saved result from Apify run ehc2febYd4WEy5aq0. Its 19 output rows do not represent all institutions for the quarter because the run stopped at its scan cap.

Quarterly financial sample chart

The chart compares assets, deposits, and equity for five banks selected from the 19 records in the bounded Apify run completed September 29, 2026. It omits the sample's largest asset record so the other values share a readable scale. Values are in thousands of US dollars; this subset is not a complete quarter distribution.

Alert mode: only new records

The default newSince: "off" repeats the selected quarterly snapshot in every new run. Successfully saved rows are chargeable deliveries, including unchanged rows. Set newSince: "lastRun" to retain a baseline and suppress the same certificate, quarter, and normalized content version in subsequent scans. This option compares content; it is not a report-date watermark and does not imply weekly financial changes.

For latest, the current quarter is resolved from FDIC metadata, validated as a real quarter end, and included in the cursor identity. When a new quarter is published, it forms a different query scope. A source index rebuild between scheduled runs restarts from offset zero; a rebuild after pagination begins resets the cursor and fails the run for a later retry. Cursor progress occurs only after delivery, a diagnostic, or recognition of a duplicate.

The retained ledger is bounded to 200,000 versions and 3,650 days. Pruned records can be delivered again. Dataset and state writes are separate, and overlapping runs are unsupported, so there is no exactly-once guarantee. A weekly availability check does not make FDIC quarterly financial data weekly.

Pricing

$5.00 per 1,000 results, or $0.005 per saved financial result event. Snapshot mode charges again for each row delivered on a later run; retained duplicates and diagnostics are not charged as results.

ResultsCost
100$0.50
1,000$5.00
10,000$50.00

These amounts are arithmetic estimates at the listed event price, not a guarantee of source coverage or processing time. maxItems sets an upper bound rather than promising a number of matching records. Check the Store price and use the Apify maximum charge control before a paid run.

Use it through the API

Your Apify token authenticates with Apify. The Actor does not currently require a separate FDIC key under observed public API access conditions; upstream requirements can change.

from apify_client import ApifyClient
client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("ledgerstar/bank-financials").call(
run_input={"certificates": ["3511"], "reportDate": "latest", "maxItems": 20}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item["bankCertificate"], item["reportDate"], item["assetsThousandsUsd"])
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('ledgerstar/bank-financials').call({
certificates: ['3511'], reportDate: 'latest', maxItems: 20,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.map(({ bankCertificate, reportDate, assetsThousandsUsd }) => ({ bankCertificate, reportDate, assetsThousandsUsd })));

Integrations

Send completed dataset rows to Google Sheets for review, or use Zapier and Make to start downstream updates after a run. Slack can notify analysts when a new quarter becomes available or a retained version is delivered. The Apify API supports scheduling and retrieval. Preserve quarter, source link, units, and timestamps when copying figures into another system.

Data source and compliance

The source is the official FDIC Bank Data API financials index. FDIC provides its data downloads and update information. Financial reports are quarterly. REPDTE identifies the quarter end. Numeric amounts are reported in thousands of dollars. FDIC NETINC is cumulative income as reported and should not be treated automatically as one-quarter profit. Return ratios are source-reported values.

This Actor returns institution-level business financial fields and provenance. It does not collect customer accounts, personal data, or officer details. Verify source reports before decisions involving lending, credit, investment, safety, or compliance. Public access requirements can change, and source errors are not represented as successful empty results. Ledgerstar is independent and is not endorsed by FDIC. This output is research data, not financial advice or a bank safety rating.

FAQ

Is it legal to use this data? The Actor reads public official business data. You are responsible for applicable terms and the legality of your downstream use.

How often is the data updated? Financial reports are quarterly. A weekly run can check whether a new quarter is available but cannot produce weekly statements.

How do I get only new records? Choose lastRun to suppress retained identical certificate-quarter content versions. It does not use a date watermark.

What does latest mean? The Actor reads FDIC's most recent report date and verifies it is a calendar quarter end before requesting rows.

Can I request any date? No. Use latest or a valid March 31, June 30, September 30, or December 31 quarter end.

What units are used for amounts? Assets, deposits, equity, and net income are thousands of US dollars. Field names include the unit to avoid ambiguous scaling.

Is net income a quarterly number? The FDIC NETINC field can be cumulative year-to-date. Interpret it using FDIC documentation and the reporting period.

Why are values null? The source may omit or provide a nonnumeric value. Null remains unknown; it is never converted to zero.

Why did the run return fewer rows than requested? The selected quarter may have fewer matches, or a page, scan, or result cap may have stopped the run. Check completion fields in the run summary.

Will an unchanged quarterly snapshot cost again? Yes in default snapshot mode. Retained identical versions are suppressed only with lastRun.

Does this Actor rate bank safety? No. It returns source-reported figures and ratios and does not provide a safety score or recommendation.

Does monitoring guarantee exactly-once delivery? No. State and dataset writes are separate, retention is bounded, and overlapping runs are unsupported.

More from Ledgerstar

Visit the Ledgerstar Apify Store for current Actor availability and related source-linked business data tools.

Support

Support: open an issue on this Actor's Issues tab in Apify Console.