ProPhase Labs (PRPH) Total Non-Current Liabilities (2012 - 2026)
ProPhase Labs' Total Non-Current Liabilities was $2.43 million in Q2 2026, down 51.1% from $4.98 million a year earlier and down 24.8% from the prior quarter.
ProPhase Labs (PRPH) Total Non-Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at ProPhase Labs came in at $3.28 million, down 86.2% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -25.8% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $23.71 million in FY2024 (+9.3%), $21.69 million in FY2023 (+173.1%), $7.94 million in FY2022 (-47.6%) and $15.14 million in FY2021 (+4.0%).
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q2 2020.
- Compared with a year earlier, Total Non-Current Liabilities has declined for six straight quarters, with an average decline of 47.2% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2023 (growth of 173.1%); the worst was Q4 2025 (a decline of 86.2%).
- Per Business Quant data, PRPH's Total Non-Current Liabilities in the three quarters before Q2 2026 was $3.24 million (Q1 2026), $3.28 million (Q4 2025) and $3.55 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.66 Bn | 1,106.24 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 636.13 Bn | 556.00 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 505.28 Bn | 478.39 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 358.10 Bn | 312.48 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 292.59 Bn | 256.58 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.53 Bn | 192.93 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn | 97.04 Bn |
| 10 | ProPhase Labs | 120,537.60 | -425,462.40 | 226,000.00 | 2.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.43 Mn |
| Mar 31, 2026 | 3.24 Mn |
| Dec 31, 2025 | 3.28 Mn |
| Sep 30, 2025 | 3.55 Mn |
| Jun 30, 2025 | 4.98 Mn |
| Mar 31, 2025 | 10.94 Mn |
| Dec 31, 2024 | 23.71 Mn |
| Sep 30, 2024 | 24.98 Mn |
| Jun 30, 2024 | 21.59 Mn |
| Mar 31, 2024 | 21.26 Mn |
| Dec 31, 2023 | 21.69 Mn |
| Sep 30, 2023 | 18.88 Mn |
| Jun 30, 2023 | 18.13 Mn |
| Mar 31, 2023 | 16.97 Mn |
| Dec 31, 2022 | 7.94 Mn |
| Sep 30, 2022 | 13.26 Mn |
| Jun 30, 2022 | 13.07 Mn |
| Mar 31, 2022 | 13.45 Mn |
| Dec 31, 2021 | 15.14 Mn |
| Sep 30, 2021 | 14.43 Mn |
ProPhase Labs 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=PRPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "PRPH", "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=PRPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();