Lantern Pharma (LTRN) Total Liabilities (2019 - 2026)
Lantern Pharma's Total Liabilities was $11.82 million in Q2 2026, up 141.3% from $4.9 million a year earlier and up 212.9% from the prior quarter.
Lantern Pharma (LTRN) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Lantern Pharma came in at $4.5 million, up 2.7% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 46.8% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $4.38 million in FY2024 (+60.0%), $2.74 million in FY2023 (-2.1%), $2.8 million in FY2022 (+17.6%) and $2.38 million in FY2021 (+260.0%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities in data going back to Q4 2019.
- Compared with a year earlier, Total Liabilities was higher in seven of the last eight quarters, with growth averaging 33.9%.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2022 (growth of 299.4%); the worst was Q2 2023 (a decline of 40.3%).
- Per Business Quant data, LTRN's Total Liabilities in the three quarters before Q2 2026 was $3.78 million (Q1 2026), $4.5 million (Q4 2025) and $4.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Lantern Pharma | 8.26 Mn | -27.90 Mn | - | 11.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.82 Mn |
| Mar 31, 2026 | 3.78 Mn |
| Dec 31, 2025 | 4.50 Mn |
| Sep 30, 2025 | 4.04 Mn |
| Jun 30, 2025 | 4.90 Mn |
| Mar 31, 2025 | 4.32 Mn |
| Dec 31, 2024 | 4.38 Mn |
| Sep 30, 2024 | 3.70 Mn |
| Jun 30, 2024 | 4.66 Mn |
| Mar 31, 2024 | 3.97 Mn |
| Dec 31, 2023 | 2.74 Mn |
| Sep 30, 2023 | 2.36 Mn |
| Jun 30, 2023 | 3.17 Mn |
| Mar 31, 2023 | 2.93 Mn |
| Dec 31, 2022 | 2.80 Mn |
| Sep 30, 2022 | 3.14 Mn |
| Jun 30, 2022 | 5.30 Mn |
| Mar 31, 2022 | 3.09 Mn |
| Dec 31, 2021 | 2.38 Mn |
| Sep 30, 2021 | 1.88 Mn |
Lantern Pharma 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=LTRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "LTRN", "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=LTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();