AMES NATIONAL CORPORATION: interest expense

What this measure means

Borrowing costs recognized as interest expense. This is distinct from cash interest paid and may not include every capitalized borrowing cost.

Exact concept: us-gaap:InterestExpense. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2009-01-01 to 2023-12-31. The SEC response was captured on 2026-09-20.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Selected filing history

Related financial histories

• AMES NATIONAL CORPORATION: total assets
• AMES NATIONAL CORPORATION: total liabilities
• AMES NATIONAL CORPORATION: stockholders equity
• AMES NATIONAL CORPORATION: cash and cash equivalents
• AMES NATIONAL CORPORATION: net income or loss
• AMES NATIONAL CORPORATION: operating cash flow
• AMES NATIONAL CORPORATION: capital expenditure payments
• AMES NATIONAL CORPORATION: financing cash flow
• AMES NATIONAL CORPORATION: investing cash flow
• AMES NATIONAL CORPORATION: retained earnings or deficit
• AMES NATIONAL CORPORATION: basic weighted-average shares
• AMES NATIONAL CORPORATION: basic earnings per share
• AMES NATIONAL CORPORATION: diluted earnings per share
• AMES NATIONAL CORPORATION: income tax expense or benefit
• AMES NATIONAL CORPORATION: net property, plant and equipment
• AMES NATIONAL CORPORATION: goodwill carrying amount
• AMES NATIONAL CORPORATION: net finite-lived intangible assets
• AMES NATIONAL CORPORATION: common-stock repurchase payments

Inspect the source

Entity

AMES NATIONAL CORPORATION / CIK 0001132651

Captured

2026-09-20T07:41:13.447Z

SEC response SHA-256

05a14a41a19cdccfb2e58fb73640743a4d98a30457bb8627171724ff85557965

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

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.

• Get an API key and run your first validation
• Connect the MCP server to your coding assistant
• Inspect the ALPHAC engine on GitHub
• Read the MCP server source and integration examples

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001132651.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"])))