Lantern Pharma (LTRN) Change in Accured Expenses (2019 - 2026)
Lantern Pharma (LTRN) posted Change in Accured Expenses of $461,976 for Q2 2026, down 26.4% from $627,285 a year earlier.
Lantern Pharma (LTRN) Change in Accured Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Lantern Pharma was -$582,972; for FY2025, it came in at $271,808, down 83.4% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 18.3% (FY2020 to FY2025).
- In prior years, Lantern Pharma's Change in Accured Expenses was $1.64 million in FY2024, -$236,181 in FY2023, $580,359 in FY2022 (-64.2%) and $1.62 million in FY2021.
- Quarterly Change in Accured Expenses has run from a low of -$2.14 million in Q3 2022 to a high of $2.28 million in Q2 2022 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in 1 of the last four quarters, with growth averaging 1.9%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q1 2022, with growth of 352.6%; the weakest was Q2 2023, with a decline of 92.1%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$705,025 (Q1 2026), $466,998 (Q4 2025) and -$806,921 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.83 Bn | 1,078.42 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 610.61 Bn | 529.14 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 500.66 Bn | 473.77 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 354.64 Bn | 309.02 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 291.14 Bn | 255.13 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 254.18 Bn | 227.87 Bn | 12.86 Bn | - |
| 7 | Amgen | 229.46 Bn | 184.86 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 190.33 Bn | 164.53 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 167.92 Bn | 114.57 Bn | 10.94 Bn | - |
| 10 | Lantern Pharma | 7.95 Mn | -28.21 Mn | - | 461,976.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 461,976.00 |
| Mar 31, 2026 | -705,025.00 |
| Dec 31, 2025 | 466,998.00 |
| Sep 30, 2025 | -806,921.00 |
| Jun 30, 2025 | 627,285.00 |
| Mar 31, 2025 | -15,554.00 |
| Dec 31, 2024 | 737,880.00 |
| Sep 30, 2024 | -1.03 Mn |
| Jun 30, 2024 | 661,181.00 |
| Mar 31, 2024 | 1.27 Mn |
| Dec 31, 2023 | 419,915.00 |
| Sep 30, 2023 | -767,870.00 |
| Jun 30, 2023 | 179,074.00 |
| Mar 31, 2023 | -67,300.00 |
| Dec 31, 2022 | -305,639.00 |
| Sep 30, 2022 | -2.14 Mn |
| Jun 30, 2022 | 2.28 Mn |
| Mar 31, 2022 | 742,523.00 |
| Dec 31, 2021 | 1.49 Mn |
| Sep 30, 2021 | -543,463.00 |
Lantern Pharma Change in Accured Expenses 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=change-in-accured-expenses&ticker=LTRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=LTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();