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Farmers & Merchants Bancorp, Inc.: interest expense

Farmers & Merchants Bancorp interest expense: $58.4 million for the year ending 2023-12-31, up 306.7% on the year. 15 values since 2009 from SEC filings.

All Farmers & Merchants Bancorp, Inc. financial histories

At a glance

Farmers & Merchants Bancorp reported interest expense of $58.4 million for the year ending 2023-12-31, up 306.7% from $14.4 million a year earlier. From 2009 to 2023 it grew at a compound 11.2% a year, from $13.2 million to $58.4 million. Across the last five reported years it ranged from $7.34 million (2021-12-31) to $58.4 million (2023-12-31).

Computed from the values in the table below, in USD; each links to the filing it came from.

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 2026-09-19.

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
2023-01-012023-12-3158,411,000USD2024-02-2710-K · 0000950170-24-021373 SEC
2022-01-012022-12-3114,362,000USD2024-02-2710-K · 0000950170-24-021373 SEC
2021-01-012021-12-317,342,000USD2024-02-2710-K · 0000950170-24-021373 SEC
2020-01-012020-12-3110,393,000USD2023-02-2410-K · 0000950170-23-004300 SEC
2019-01-012019-12-3114,759,000USD2022-02-2210-K · 0001564590-22-005912 SEC
2018-01-012018-12-316,572,000USD2021-02-2410-K · 0001564590-21-007929 SEC
2017-01-012017-12-315,127,000USD2020-02-2610-K · 0001564590-20-006695 SEC
2016-01-012016-12-314,223,000USD2019-02-2710-K · 0001564590-19-004731 SEC
2015-01-012015-12-313,587,000USD2018-02-2810-K · 0001193125-18-062514 SEC
2014-01-012014-12-313,716,000USD2017-02-2210-K · 0001193125-17-051316 SEC
2013-01-012013-12-314,604,000USD2016-02-2410-K · 0001193125-16-474789 SEC
2012-01-012012-12-316,250,000USD2015-02-2510-K · 0001193125-15-061460 SEC
2011-01-012011-12-318,156,000USD2014-02-2610-K · 0001193125-14-068888 SEC
2010-01-012010-12-3110,863,000USD2013-02-2510-K · 0001193125-13-073008 SEC
2009-01-012009-12-3113,220,000USD2012-02-2410-K · 0001193125-12-077934 SEC

Related FARMERS & MERCHANTS BANCORP, INC. histories

All 37 Farmers & Merchants Bancorp histories

Inspect the source

Entity
FARMERS & MERCHANTS BANCORP, INC. / CIK 0000792966
Captured
SEC response SHA-256
c0defccf42cfa25e558bcd80f462f4c524733f9fe0a87489c34cdfd0083ae493

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.

The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.

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

with urlopen("https://canlicapital.com/company-data/0000792966.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"])))