DLH Holdings (DLHC) Other Operating Expenses (2018 - 2026)
DLH Holdings (DLHC) recorded Other Operating Expenses of $40.62 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 43.4% from $71.76 million a year earlier and down 21.3% from the prior quarter.
DLH Holdings (DLHC) Other Operating Expenses (2018 - 2026) Analysis & Trends
On a TTM basis, DLH Holdings' Other Operating Expenses came in at $223.12 million as of Jun 30, 2026, down 27.1% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $295.81 million, down 11.7% from FY2024.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- Across earlier fiscal years, Other Operating Expenses came in at $334.9 million in FY2024 (+5.2%), $318.45 million in FY2023 (-3.3%), $329.45 million in FY2022 (+63.7%) and $201.23 million in FY2021 (+19.5%).
- The fiscal Q3 2026 figure is the lowest quarterly Other Operating Expenses since fiscal Q3 2019.
- On a year-over-year basis, Other Operating Expenses has declined for eight consecutive quarters, with an average decline of 19.4% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 181.9% in fiscal Q1 2022, against a decline of 55.8% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $51.59 million (Q2 2026), $59.5 million (Q1 2026) and $71.42 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 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 |
| 10 | DLH Holdings | 53.62 Mn | 52.88 Mn | 7.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.62 Mn |
| Mar 31, 2026 | 51.59 Mn |
| Dec 31, 2025 | 59.50 Mn |
| Sep 30, 2025 | 71.42 Mn |
| Jun 30, 2025 | 71.76 Mn |
| Mar 31, 2025 | 75.66 Mn |
| Dec 31, 2024 | 76.88 Mn |
| Sep 30, 2024 | 81.58 Mn |
| Jun 30, 2024 | 86.10 Mn |
| Mar 31, 2024 | 83.63 Mn |
| Dec 31, 2023 | 83.60 Mn |
| Sep 30, 2023 | 90.99 Mn |
| Jun 30, 2023 | 85.00 Mn |
| Mar 31, 2023 | 82.57 Mn |
| Dec 31, 2022 | 59.46 Mn |
| Sep 30, 2022 | 53.33 Mn |
| Jun 30, 2022 | 51.34 Mn |
| Mar 31, 2022 | 90.51 Mn |
| Dec 31, 2021 | 134.37 Mn |
| Sep 30, 2021 | 53.23 Mn |
DLH Holdings Other Operating Expenses 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=other-operating-expenses&ticker=DLHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=DLHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();