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Monro, Inc.: total assets

Monro total assets: $1.57 billion at 2026-03-28, down 4.5% on the year. 16 values since 2011 from SEC filings, each linked to its filing. In original units.

All Monro, Inc. financial histories

At a glance

Monro reported total assets of $1.57 billion at 2026-03-28, down 4.5% from $1.64 billion a year earlier. From 2011 to 2026 it grew at a compound 8.6% a year, from $451.8 million to $1.57 billion. Across the last five reported years it ranged from $1.57 billion (2026-03-28) to $1.87 billion (2022-03-26).

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

What this measure means

Resources recognized on the balance sheet. Book assets are not the market value of the business.

Exact concept: us-gaap:Assets. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2011-03-26 to 2026-03-28. The SEC response was captured on 2026-09-20.

Selected filing history

Total assets in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
-2026-03-281,567,977,000USD2026-05-2710-K · 0000876427-26-000007 SEC
-2025-03-291,641,823,000USD2026-05-2710-K · 0000876427-26-000007 SEC
-2024-03-301,692,814,000USD2025-05-2810-K · 0001562762-25-000146 SEC
-2023-03-251,776,877,000USD2024-05-2810-K · 0001562762-24-000155 SEC
-2022-03-261,871,412,000USD2023-05-2210-K · 0001562762-23-000263 SEC
-2021-03-271,811,814,000USD2022-05-2310-K · 0001562762-22-000259 SEC
-2020-03-282,049,457,000USD2021-05-2610-K · 0001562762-21-000233 SEC
-2019-03-301,312,288,000USD2020-06-1210-K · 0001562762-20-000223 SEC
-2018-03-311,218,432,000USD2019-05-2910-K · 0001562762-19-000139 SEC
-2017-03-251,185,264,000USD2018-05-3010-K · 0001562762-18-000183 SEC
-2016-03-26999,438,000USD2017-05-2410-K · 0001562762-17-000075 SEC
-2015-03-28907,794,000USD2016-05-2510-K · 0001562762-16-000396 SEC
-2014-03-29759,956,000USD2015-05-2710-K · 0001562762-15-000179 SEC
-2013-03-30739,433,000USD2014-05-2810-K · 0001193125-14-215130 SEC
-2012-03-31510,092,000USD2013-05-2910-K · 0001193125-13-239665 SEC
-2011-03-26451,840,000USD2012-05-3010-K · 0001193125-12-253562 SEC

Related MONRO, INC. histories

All 52 Monro histories

Inspect the source

Entity
MONRO, INC. / CIK 0000876427
Captured
SEC response SHA-256
30460b8e59c67872b3155ab2fc292c36fe024a96e30c30eeb0da2b11c7709b55

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/0000876427.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"])))