Dhi (DHX) Total Liabilities (2010 - 2026)
Dhi (DHX) posted Total Liabilities of $94.6 million for Q2 2026, down 7.7% from $102.45 million a year earlier and down 4.9% from the prior quarter.
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Analysis
Dhi (DHX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Dhi's Total Liabilities came in at $93.74 million, down 12.4% from FY2024.
- Annual Total Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- In prior years, Dhi's Total Liabilities was $107.05 million in FY2024 (-9.0%), $117.66 million in FY2023 (-2.3%), $120.47 million in FY2022 (+14.5%) and $105.22 million in FY2021 (-7.2%).
- Quarterly Total Liabilities has run from a low of $93.74 million in Q4 2025 to a high of $131.76 million in Q1 2023 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last 12 quarters, with an average decline of 10.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2022, with growth of 23.7%; the weakest was Q3 2021, with a decline of 22.7%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $99.48 million (Q1 2026), $93.74 million (Q4 2025) and $95.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 236.06 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 35.29 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 18.48 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 21.68 Bn |
| 10 | Dhi | 199.28 Mn | 187.30 Mn | 25.04 Mn | 94.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 94.60 Mn |
| Mar 31, 2026 | 99.48 Mn |
| Dec 31, 2025 | 93.74 Mn |
| Sep 30, 2025 | 95.20 Mn |
| Jun 30, 2025 | 102.45 Mn |
| Mar 31, 2025 | 108.17 Mn |
| Dec 31, 2024 | 107.05 Mn |
| Sep 30, 2024 | 108.08 Mn |
| Jun 30, 2024 | 114.56 Mn |
| Mar 31, 2024 | 125.32 Mn |
| Dec 31, 2023 | 117.66 Mn |
| Sep 30, 2023 | 116.65 Mn |
| Jun 30, 2023 | 123.24 Mn |
| Mar 31, 2023 | 131.76 Mn |
| Dec 31, 2022 | 120.47 Mn |
| Sep 30, 2022 | 117.45 Mn |
| Jun 30, 2022 | 118.12 Mn |
| Mar 31, 2022 | 120.21 Mn |
| Dec 31, 2021 | 105.22 Mn |
| Sep 30, 2021 | 99.02 Mn |
API Access
Dhi Total Liabilities 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=total-liabilities&ticker=DHX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DHX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();