Lantern Pharma (LTRN) Total Current Liabilities (2019 - 2026)
Lantern Pharma's Total Current Liabilities was $4.32 million in Q2 2026, down 11.5% from $4.88 million a year earlier but up 14.4% from the prior quarter.
Lantern Pharma (LTRN) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Lantern Pharma came in at $4.5 million, up 3.9% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 52.1% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $4.33 million in FY2024 (+61.7%), $2.68 million in FY2023 (-4.3%), $2.8 million in FY2022 (+20.3%) and $2.33 million in FY2021 (+321.1%).
- Quarterly Total Current Liabilities has moved between $1.79 million (Q3 2021) and $5.3 million (Q2 2022) over five years.
- Compared with a year earlier, Total Current Liabilities was higher in six of the last eight quarters, with growth averaging 16.1%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2022 (growth of 362.6%); the worst was Q2 2023 (a decline of 43.1%).
- Per Business Quant data, LTRN's Total Current 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 Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,149.00 Bn | 1,117.58 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 624.15 Bn | 542.68 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 511.88 Bn | 484.99 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 365.96 Bn | 320.33 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 297.60 Bn | 261.59 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.35 Bn | 235.04 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 234.89 Bn | 190.29 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 194.28 Bn | 168.48 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 172.14 Bn | 118.78 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Lantern Pharma | 8.84 Mn | -27.33 Mn | - | 4.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.32 Mn |
| Mar 31, 2026 | 3.78 Mn |
| Dec 31, 2025 | 4.50 Mn |
| Sep 30, 2025 | 4.04 Mn |
| Jun 30, 2025 | 4.88 Mn |
| Mar 31, 2025 | 4.29 Mn |
| Dec 31, 2024 | 4.33 Mn |
| Sep 30, 2024 | 3.60 Mn |
| Jun 30, 2024 | 4.60 Mn |
| Mar 31, 2024 | 3.95 Mn |
| Dec 31, 2023 | 2.68 Mn |
| Sep 30, 2023 | 2.25 Mn |
| Jun 30, 2023 | 3.02 Mn |
| Mar 31, 2023 | 2.79 Mn |
| Dec 31, 2022 | 2.80 Mn |
| Sep 30, 2022 | 3.14 Mn |
| Jun 30, 2022 | 5.30 Mn |
| Mar 31, 2022 | 3.07 Mn |
| Dec 31, 2021 | 2.33 Mn |
| Sep 30, 2021 | 1.79 Mn |
Lantern Pharma 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=LTRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=LTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();