Dhi (DHX) Operating Expenses (2010 - 2026)
Dhi (DHX) recorded Operating Expenses of $27.53 million in Q2 2026, down 17.3% from $33.29 million a year earlier but up 3.4% from the prior quarter.
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Analysis
Dhi (DHX) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Dhi's Operating Expenses came in at $118.48 million as of Jun 30, 2026, down 16.9% year-over-year; for FY2025, it came in at $139.2 million, up 2.7% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $135.6 million in FY2024 (-6.9%), $145.59 million in FY2023 (-0.4%), $146.18 million in FY2022 (+20.2%) and $121.66 million in FY2021 (-15.3%).
- Quarterly Operating Expenses has ranged from $26.63 million in Q1 2026 to $41.58 million in Q1 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for three consecutive quarters, with an average decline of 5.9% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 29.0% in Q4 2021, against a decline of 40.7% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $26.63 million (Q1 2026), $27.72 million (Q4 2025) and $36.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Dhi | 199.28 Mn | 187.30 Mn | 25.04 Mn | 27.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.53 Mn |
| Mar 31, 2026 | 26.63 Mn |
| Dec 31, 2025 | 27.72 Mn |
| Sep 30, 2025 | 36.61 Mn |
| Jun 30, 2025 | 33.29 Mn |
| Mar 31, 2025 | 41.58 Mn |
| Dec 31, 2024 | 33.06 Mn |
| Sep 30, 2024 | 34.66 Mn |
| Jun 30, 2024 | 33.83 Mn |
| Mar 31, 2024 | 34.06 Mn |
| Dec 31, 2023 | 33.78 Mn |
| Sep 30, 2023 | 35.19 Mn |
| Jun 30, 2023 | 38.57 Mn |
| Mar 31, 2023 | 38.05 Mn |
| Dec 31, 2022 | 39.01 Mn |
| Sep 30, 2022 | 37.31 Mn |
| Jun 30, 2022 | 36.15 Mn |
| Mar 31, 2022 | 33.71 Mn |
| Dec 31, 2021 | 33.59 Mn |
| Sep 30, 2021 | 32.97 Mn |
API Access
Dhi 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=DHX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DHX", "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=DHX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();