DLH Holdings (DLHC) Intangibles (2010 - 2026)
DLH Holdings' Intangibles came in at $79.82 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 16.8% from $95.98 million a year earlier and down 4.6% from the prior quarter.
DLH Holdings (DLHC) Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), DLH Holdings' Intangibles was $91.87 million, down 15.2% from FY2024.
- Intangibles carries a five-year compound annual growth rate of 11.8% (FY2020 to FY2025).
- Going back by fiscal year, Intangibles was $108.32 million in FY2024 (-13.2%), $124.78 million in FY2023 (+205.2%), $40.88 million in FY2022 (-13.9%) and $47.47 million in FY2021 (-9.8%).
- The fiscal Q3 2026 figure represents the lowest quarterly Intangibles since fiscal Q1 2023.
- Year-over-year, Intangibles has declined for nine consecutive quarters, with an average decline of 15.0% over the last eight quarters.
- The fastest year-over-year change in Intangibles over five years came in fiscal Q4 2023 (growth of 205.2%), and the weakest in fiscal Q3 2026 (a decline of 16.8%).
- Business Quant data shows DLHC's Intangibles at $83.64 million (Q2 2026), $87.75 million (Q1 2026) and $91.87 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 4.09 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 31.04 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 1.53 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 1.79 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 869.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 1.28 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 2.95 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 6.41 Bn |
| 10 | DLH Holdings | 53.62 Mn | 52.88 Mn | 7.41 Mn | 79.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.82 Mn |
| Mar 31, 2026 | 83.64 Mn |
| Dec 31, 2025 | 87.75 Mn |
| Sep 30, 2025 | 91.87 Mn |
| Jun 30, 2025 | 95.98 Mn |
| Mar 31, 2025 | 100.09 Mn |
| Dec 31, 2024 | 104.21 Mn |
| Sep 30, 2024 | 108.32 Mn |
| Jun 30, 2024 | 112.44 Mn |
| Mar 31, 2024 | 116.55 Mn |
| Dec 31, 2023 | 120.66 Mn |
| Sep 30, 2023 | 124.78 Mn |
| Jun 30, 2023 | 124.78 Mn |
| Dec 31, 2022 | 40.88 Mn |
| Sep 30, 2022 | 40.88 Mn |
| Jun 30, 2022 | 42.53 Mn |
| Mar 31, 2022 | 44.18 Mn |
| Dec 31, 2021 | 45.82 Mn |
| Sep 30, 2021 | 47.47 Mn |
| Jun 30, 2021 | 49.12 Mn |
DLH Holdings Intangibles API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=intangibles&ticker=DLHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "DLHC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=intangibles&ticker=DLHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();