Avenue Therapeutics (ATXI) Total Current Liabilities (2016 - 2026)
Avenue Therapeutics (ATXI) posted Total Current Liabilities of $1.41 million for Q2 2026, up 5.9% from $1.33 million a year earlier and up 10.8% from the prior quarter.
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Analysis
Avenue Therapeutics (ATXI) Total Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Avenue Therapeutics' Total Current Liabilities came in at $1.1 million, up 34.7% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- In prior years, Avenue Therapeutics' Total Current Liabilities was $816,000 in FY2024 (-31.8%), $1.2 million in FY2023 (-66.6%), $3.58 million in FY2022 (+603.1%) and $509,000 in FY2021 (-42.6%).
- Quarterly Total Current Liabilities has run from a low of $407,000 in Q2 2022 to a high of $10.6 million in Q1 2023 over five years.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last five quarters, with an average decline of 2.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q3 2023, with growth of 718.2%; the weakest was Q1 2024, with a decline of 86.7%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $1.27 million (Q1 2026), $1.1 million (Q4 2025) and $1.42 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Avenue Therapeutics | 1.32 Mn | -9.61 Mn | - | 1.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.41 Mn |
| Mar 31, 2026 | 1.27 Mn |
| Dec 31, 2025 | 1.10 Mn |
| Sep 30, 2025 | 1.42 Mn |
| Jun 30, 2025 | 1.33 Mn |
| Mar 31, 2025 | 1.26 Mn |
| Dec 31, 2024 | 816,000.00 |
| Sep 30, 2024 | 973,000.00 |
| Jun 30, 2024 | 1.16 Mn |
| Mar 31, 2024 | 1.41 Mn |
| Dec 31, 2023 | 1.20 Mn |
| Sep 30, 2023 | 5.02 Mn |
| Jun 30, 2023 | 7.81 Mn |
| Mar 31, 2023 | 10.60 Mn |
| Dec 31, 2022 | 3.58 Mn |
| Sep 30, 2022 | 614,000.00 |
| Jun 30, 2022 | 407,000.00 |
| Mar 31, 2022 | 797,000.00 |
| Dec 31, 2021 | 509,000.00 |
| Sep 30, 2021 | 848,000.00 |
API Access
Avenue Therapeutics 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=ATXI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "ATXI", "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=ATXI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();