Definitive Healthcare (DH) Total Non-Current Liabilities (2020 - 2026)
Definitive Healthcare (DH) recorded Total Non-Current Liabilities of $307.82 million in Q2 2026, down 13.4% from $355.47 million a year earlier and down 4.5% from the prior quarter.
Definitive Healthcare (DH) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Definitive Healthcare reported Total Non-Current Liabilities of $354.25 million, down 25.1% from FY2024.
- Annual Total Non-Current Liabilities has declined for three straight years, with a five-year compound annual growth rate of -8.4% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $472.75 million in FY2024 (-23.4%), $616.79 million in FY2023 (-3.2%), $637.43 million in FY2022 (+3.4%) and $616.49 million in FY2021 (+12.0%).
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Non-Current Liabilities has declined for 12 consecutive quarters, with an average decline of 23.9% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 12.0% in Q4 2021, against a decline of 39.6% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $322.42 million (Q1 2026), $354.25 million (Q4 2025) and $362.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Definitive Healthcare | 98.21 Mn | -587.08 Mn | 40.54 Mn | 307.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 307.82 Mn |
| Mar 31, 2026 | 322.42 Mn |
| Dec 31, 2025 | 354.25 Mn |
| Sep 30, 2025 | 362.97 Mn |
| Jun 30, 2025 | 355.47 Mn |
| Mar 31, 2025 | 365.34 Mn |
| Dec 31, 2024 | 472.75 Mn |
| Sep 30, 2024 | 478.92 Mn |
| Jun 30, 2024 | 525.59 Mn |
| Mar 31, 2024 | 604.71 Mn |
| Dec 31, 2023 | 616.79 Mn |
| Sep 30, 2023 | 607.15 Mn |
| Jun 30, 2023 | 648.31 Mn |
| Mar 31, 2023 | 651.97 Mn |
| Dec 31, 2022 | 637.43 Mn |
| Sep 30, 2022 | 646.34 Mn |
| Jun 30, 2022 | 637.78 Mn |
| Mar 31, 2022 | 648.21 Mn |
| Dec 31, 2021 | 616.49 Mn |
| Sep 30, 2021 | 590.99 Mn |
Definitive Healthcare 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=DH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "DH", "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=DH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();