Dhi (DHX) Total Current Liabilities (2010 - 2026)
Dhi (DHX) recorded Total Current Liabilities of $53.06 million in Q2 2026, down 14.2% from $61.83 million a year earlier and down 7.2% from the prior quarter.
Dhi (DHX) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Dhi reported Total Current Liabilities of $55.08 million, down 12.2% from FY2024.
- Annual Total Current Liabilities has declined for three straight years, with a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $62.71 million in FY2024 (-8.9%), $68.88 million in FY2023 (-7.0%), $74.08 million in FY2022 (+16.7%) and $63.46 million in FY2021 (-2.9%).
- The Q2 2026 figure is the lowest quarterly Total Current Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Current Liabilities has declined for nine consecutive quarters, with an average decline of 9.8% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 24.8% in Q2 2022, against a decline of 14.2% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $57.2 million (Q1 2026), $55.08 million (Q4 2025) and $55.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.54 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 47.51 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 22.94 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 26.34 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 12.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 50.02 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 10.16 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 8.81 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 495.11 Mn |
| 10 | Dhi | 199.28 Mn | 187.30 Mn | 25.04 Mn | 53.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.06 Mn |
| Mar 31, 2026 | 57.20 Mn |
| Dec 31, 2025 | 55.08 Mn |
| Sep 30, 2025 | 55.92 Mn |
| Jun 30, 2025 | 61.83 Mn |
| Mar 31, 2025 | 63.49 Mn |
| Dec 31, 2024 | 62.71 Mn |
| Sep 30, 2024 | 62.63 Mn |
| Jun 30, 2024 | 65.63 Mn |
| Mar 31, 2024 | 72.85 Mn |
| Dec 31, 2023 | 68.88 Mn |
| Sep 30, 2023 | 65.14 Mn |
| Jun 30, 2023 | 67.03 Mn |
| Mar 31, 2023 | 70.76 Mn |
| Dec 31, 2022 | 74.08 Mn |
| Sep 30, 2022 | 73.81 Mn |
| Jun 30, 2022 | 73.40 Mn |
| Mar 31, 2022 | 70.73 Mn |
| Dec 31, 2021 | 63.46 Mn |
| Sep 30, 2021 | 60.73 Mn |
Dhi Total 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-current-liabilities&ticker=DHX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=DHX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();