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UMH Properties, Inc.: operating cash flow

UMH Properties operating cash flow: $82.0 million for the year ending 2025-12-31, up 0.5% on the year. 12 values since 2014, each linked to its SEC filing.

All UMH Properties, Inc. financial histories

At a glance

UMH Properties reported operating cash flow of $82.0 million for the year ending 2025-12-31, up 0.5% from $81.6 million a year earlier. Across the last five reported years it ranged from -$7.23 million (2022-12-31) to $120.1 million (2023-12-31). That was 31.3% of revenue ($261.8 million) for the same year.

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

What this measure means

Cash generated or used by operating activities. Working-capital timing can make this differ substantially from reported income.

Exact concept: us-gaap:NetCashProvidedByUsedInOperatingActivities. 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 2014-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Operating cash flow in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3181,973,000USD2026-02-2510-K · 0001493152-26-008042 SEC
2024-01-012024-12-3181,601,000USD2026-02-2510-K · 0001493152-26-008042 SEC
2023-01-012023-12-31120,077,000USD2026-02-2510-K · 0001493152-26-008042 SEC
2022-01-012022-12-31-7,227,000USD2025-02-2610-K · 0001493152-25-008351 SEC
2021-01-012021-12-3165,187,000USD2024-02-2810-K · 0001493152-24-008183 SEC
2020-01-012020-12-3166,839,000USD2023-02-2810-K · 0001493152-23-006265 SEC
2019-01-012019-12-3138,516,000USD2022-02-2410-K · 0001493152-22-005400 SEC
2018-01-012018-12-3140,175,000USD2021-03-1010-K · 0001493152-21-005762 SEC
2017-01-012017-12-3140,858,000USD2020-03-0510-K · 0001493152-20-003441 SEC
2016-01-012016-12-3129,203,209USD2019-03-0710-K · 0001493152-19-002992 SEC
2015-01-012015-12-3125,708,212USD2018-03-0810-K · 0001493152-18-003093 SEC
2014-01-012014-12-3124,326,461USD2017-03-0810-K · 0001493152-17-002243 SEC

Related UMH PROPERTIES, INC. histories

All 35 UMH Properties histories

Inspect the source

Entity
UMH PROPERTIES, INC. / CIK 0000752642
Captured
SEC response SHA-256
27a33f3b1ce786cb9d894869202c92f55541c83662f42e1fbe1c6166c4ea32e8

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/0000752642.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"])))