Dhi (DHX) Total Non-Current Liabilities (2010 - 2026)
Dhi (DHX) posted Total Non-Current Liabilities of $91.64 million for Q3 2026, down 2.6% from $94.13 million a year earlier and down 2.4% from the prior quarter.
Dhi (DHX) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Dhi's Total Non-Current Liabilities came in at $92.87 million, down 12.1% from FY2024.
- Annual Total Non-Current Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- In prior years, Dhi's Total Non-Current Liabilities was $105.6 million in FY2024 (-9.1%), $116.14 million in FY2023 (-2.2%), $118.73 million in FY2022 (+13.7%) and $104.42 million in FY2021 (-7.2%).
- The Q3 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q4 2018.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last 13 quarters, with an average decline of 9.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q2 2022, with growth of 25.5%; the weakest was Q1 2025, with a decline of 13.8%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $93.91 million (Q2 2026), $98.81 million (Q1 2026) and $92.87 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 2.06 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 188.55 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 12.21 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 67.55 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 57.23 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 18.14 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 17.43 Bn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | 1.33 Mn |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 21.71 Bn |
| 10 | Dhi | 174.93 Mn | 162.07 Mn | 25.53 Mn | 91.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 91.64 Mn |
| Jun 30, 2026 | 93.91 Mn |
| Mar 31, 2026 | 98.81 Mn |
| Dec 31, 2025 | 92.87 Mn |
| Sep 30, 2025 | 94.13 Mn |
| Jun 30, 2025 | 101.38 Mn |
| Mar 31, 2025 | 106.72 Mn |
| Dec 31, 2024 | 105.60 Mn |
| Sep 30, 2024 | 106.47 Mn |
| Jun 30, 2024 | 112.99 Mn |
| Mar 31, 2024 | 123.74 Mn |
| Dec 31, 2023 | 116.14 Mn |
| Sep 30, 2023 | 114.98 Mn |
| Jun 30, 2023 | 121.63 Mn |
| Mar 31, 2023 | 130.20 Mn |
| Dec 31, 2022 | 118.73 Mn |
| Sep 30, 2022 | 115.51 Mn |
| Jun 30, 2022 | 116.17 Mn |
| Mar 31, 2022 | 118.34 Mn |
| Dec 31, 2021 | 104.42 Mn |
Dhi Total Non-Current 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-non-current-liabilities&ticker=DHX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=DHX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();