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C & F FINANCIAL CORPORATION: interest expense

Interest expense for C & F FINANCIAL CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All C & F FINANCIAL CORPORATION financial histories

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

Interest expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2023-01-012023-12-3126,430,000USD2024-02-2710-K · 0000913341-24-000009
2022-01-012022-12-317,890,000USD2024-02-2710-K · 0000913341-24-000009
2021-01-012021-12-318,359,000USD2024-02-2710-K · 0000913341-24-000009
2020-01-012020-12-3113,382,000USD2023-02-2810-K · 0000913341-23-000012
2019-01-012019-12-3114,556,000USD2022-03-0110-K · 0000913341-22-000012
2018-01-012018-12-3111,027,000USD2021-03-0310-K · 0001558370-21-002321
2017-01-012017-12-319,601,000USD2020-03-0310-K · 0001558370-20-001967
2016-01-012016-12-318,968,000USD2019-02-2610-K · 0001558370-19-001069
2015-01-012015-12-318,694,000USD2018-03-0810-K · 0001558370-18-001702
2014-01-012014-12-318,525,000USD2017-03-0710-K · 0001558370-17-001390
2013-01-012013-12-318,623,000USD2016-03-0410-K · 0001558370-16-003838
2012-01-012012-12-3110,111,000USD2015-03-1110-K · 0001558370-15-000314
2011-01-012011-12-3111,881,000USD2014-03-0710-K · 0001437749-14-003646
2010-01-012010-12-3113,235,000USD2013-03-0510-K · 0001140361-13-010538
2009-01-012009-12-3115,459,000USD2012-03-0510-K · 0001140361-12-013142

Related financial histories

Inspect the source

Entity
C & F FINANCIAL CORPORATION / CIK 0000913341
Captured
2026-09-20T05:06:53.725Z
SEC response SHA-256
787fcf2e6cc225234e7d671907019e15479d0a368e6a63a66641c5f01d955828

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.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000913341.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"])))