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Security National Financial Corporation: interest expense

Interest expense for Security National Financial Corporation. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Security National 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 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Interest expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-314,518,965USD2026-03-1610-K · 0001493152-26-010228
2024-01-012024-12-314,254,100USD2026-03-1610-K · 0001493152-26-010228
2023-01-012023-12-314,865,327USD2025-03-3110-K · 0001641172-25-001508
2022-01-012022-12-317,830,443USD2024-03-2910-K · 0001493152-24-011903
2021-01-012021-12-317,127,516USD2023-03-3110-K · 0001493152-23-009956
2020-01-012020-12-318,578,810USD2022-03-3110-K · 0001493152-22-008236
2019-01-012019-12-317,386,688USD2021-03-3110-K · 0001096906-21-000634
2018-01-012018-12-316,956,707USD2020-03-3010-K · 0001096906-20-000127
2017-01-012017-12-316,037,332USD2019-03-2910-K · 0001096906-19-000117
2016-01-012016-12-315,111,868USD2018-04-0210-K · 0001096906-18-000170
2015-01-012015-12-314,458,612USD2017-08-2510-K · 0001096906-17-000576
2014-01-012014-12-312,994,429USD2017-08-2510-K · 0001096906-17-000576
2013-01-012013-12-312,853,701USD2016-03-3010-K · 0001096906-16-001519
2012-01-012012-12-313,744,293USD2015-03-3110-K · 0001096906-15-000339
2011-01-012011-12-311,961,249USD2014-03-3110-K · 0001096906-14-000406
2010-01-012010-12-312,778,920USD2013-03-2910-K · 0001096906-13-000418
2009-01-012009-12-313,326,161USD2012-03-3010-K · 0001096906-12-000774

Related financial histories

Inspect the source

Entity
Security National Financial Corporation / CIK 0000318673
Captured
2026-09-19T14:56:44.015Z
SEC response SHA-256
2f36cf1298340e87c15ee0912592a40cf454a0160c19b48011b856935810973c

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/0000318673.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"])))