DLH Holdings (DLHC) Operating Expenses (2010 - 2026)
DLH Holdings' Operating Expenses was $48.16 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 39.5% from $79.59 million a year earlier and down 18.8% from the prior quarter.
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Analysis
DLH Holdings (DLHC) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, DLH Holdings' Operating Expenses was $253.81 million through Jun 30, 2026, down 25.1% year-over-year; for FY2025 (ended Sep 30, 2025), it was $327.71 million, down 11.7% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $371.04 million in FY2024 (+3.4%), $358.78 million in FY2023 (-0.9%), $361.9 million in FY2022 (+58.1%) and $228.87 million in FY2021 (+16.9%).
- The fiscal Q3 2026 figure marks the lowest quarterly Operating Expenses since fiscal Q4 2020.
- Compared with a year earlier, Operating Expenses has declined for nine straight quarters, with an average decline of 18.4% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q1 2022 (growth of 161.1%); the worst was fiscal Q1 2023 (a decline of 51.4%).
- Per Business Quant data, DLHC's Operating Expenses in the three fiscal quarters before Q3 2026 was $59.32 million (Q2 2026), $67.46 million (Q1 2026) and $78.88 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 1.87 Bn |
| 10 | DLH Holdings | 51.02 Mn | 50.27 Mn | 7.41 Mn | 48.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.16 Mn |
| Mar 31, 2026 | 59.32 Mn |
| Dec 31, 2025 | 67.46 Mn |
| Sep 30, 2025 | 78.88 Mn |
| Jun 30, 2025 | 79.59 Mn |
| Mar 31, 2025 | 84.10 Mn |
| Dec 31, 2024 | 85.15 Mn |
| Sep 30, 2024 | 90.01 Mn |
| Jun 30, 2024 | 94.93 Mn |
| Mar 31, 2024 | 95.07 Mn |
| Dec 31, 2023 | 91.03 Mn |
| Sep 30, 2023 | 101.32 Mn |
| Jun 30, 2023 | 95.13 Mn |
| Mar 31, 2023 | 93.47 Mn |
| Dec 31, 2022 | 68.82 Mn |
| Sep 30, 2022 | 62.54 Mn |
| Jun 30, 2022 | 59.33 Mn |
| Mar 31, 2022 | 98.45 Mn |
| Dec 31, 2021 | 141.58 Mn |
| Sep 30, 2021 | 61.15 Mn |
API Access
DLH Holdings 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=operating-expenses&ticker=DLHC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=DLHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();