DLH Holdings Corp.: net finite-lived intangible assets
DLH Holdings net finite-lived intangible assets: $91.9 million at 2025-09-30, down 15.2% on the year. 10 values since 2016, each linked to its SEC filing.
All DLH Holdings Corp. financial histories
At a glance
DLH Holdings reported net finite-lived intangible assets of $91.9 million at 2025-09-30, down 15.2% from $108.3 million a year earlier. From 2016 to 2025 it grew at a compound 32.0% a year, from $7.56 million to $91.9 million. Across the last five reported years it ranged from $40.9 million (2022-09-30) to $124.8 million (2023-09-30). That was 31.6% of total assets ($290.7 million) at the same date.
Computed from the values in the table below, in USD; each links to the filing it came from.
What this measure means
Finite-lived intangible assets after amortization. This excludes goodwill and should not be combined with indefinite-lived intangible assets without checking scope.
Exact concept: us-gaap:FiniteLivedIntangibleAssetsNet. 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 2016-09-30 to 2025-09-30. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| - | 2025-09-30 | 91,865,000 | USD | 2025-12-10 | 10-K · 0000785557-25-000159 SEC |
| - | 2024-09-30 | 108,321,000 | USD | 2025-12-10 | 10-K · 0000785557-25-000159 SEC |
| - | 2023-09-30 | 124,777,000 | USD | 2024-12-04 | 10-K · 0000785557-24-000067 SEC |
| - | 2022-09-30 | 40,884,000 | USD | 2023-12-06 | 10-K · 0000785557-23-000089 SEC |
| - | 2021-09-30 | 47,469,000 | USD | 2022-12-05 | 10-K · 0000785557-22-000046 SEC |
| - | 2020-09-30 | 52,612,000 | USD | 2021-12-06 | 10-K · 0000785557-21-000026 SEC |
| - | 2019-09-30 | 41,208,000 | USD | 2020-12-07 | 10-K · 0000785557-20-000016 SEC |
| - | 2018-09-30 | 13,365,000 | USD | 2019-12-11 | 10-K · 0001628280-19-014978 SEC |
| - | 2017-09-30 | 15,127,000 | USD | 2018-12-12 | 10-K · 0001628280-18-015050 SEC |
| - | 2016-09-30 | 7,559,000 | USD | 2016-12-09 | 10-K · 0000785557-16-000151 SEC |
Related DLH HOLDINGS CORP. histories
Inspect the source
- Entity
- DLH HOLDINGS CORP. / CIK 0000785557
- Captured
- SEC response SHA-256
e685f1866deb801bc761dc9a8d6fde04cadcfbf39b19bf334888be4e57ab1cee
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
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000785557.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"])))