Dogwood Therapeutics (DWTX) Total Current Liabilities (2020 - 2026)
Dogwood Therapeutics (DWTX) reported Total Current Liabilities of $2.83 million for Q2 2026, up 50.2% from $1.89 million a year earlier and up 10.6% from the prior quarter.
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Analysis
Dogwood Therapeutics (DWTX) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Dogwood Therapeutics posted Total Current Liabilities of $3.06 million, down 3.7% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 14.8% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $3.18 million in FY2024 (+785.9%), $358,548 in FY2023 (-65.6%), $1.04 million in FY2022 (-18.2%) and $1.28 million in FY2021 (-16.7%).
- Five-year quarterly Total Current Liabilities spans a low of $358,548 in Q4 2023 and a high of $3.18 million in Q4 2024.
- Year over year, Total Current Liabilities gained in six of the last eight quarters, with growth averaging 216.2%.
- The high point for year-over-year Total Current Liabilities in five years was Q4 2024 (growth of 785.9%); the low point was Q2 2023 (a decline of 72.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.56 million (Q1 2026), $3.06 million (Q4 2025) and $2.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Dogwood Therapeutics | 39.59 Mn | 100,954.34 | - | 2.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.83 Mn |
| Mar 31, 2026 | 2.56 Mn |
| Dec 31, 2025 | 3.06 Mn |
| Sep 30, 2025 | 2.60 Mn |
| Jun 30, 2025 | 1.89 Mn |
| Mar 31, 2025 | 2.58 Mn |
| Dec 31, 2024 | 3.18 Mn |
| Sep 30, 2024 | 1.33 Mn |
| Jun 30, 2024 | 500,076.00 |
| Mar 31, 2024 | 570,083.00 |
| Dec 31, 2023 | 358,548.00 |
| Sep 30, 2023 | 487,144.00 |
| Jun 30, 2023 | 520,032.00 |
| Mar 31, 2023 | 549,290.00 |
| Dec 31, 2022 | 1.04 Mn |
| Sep 30, 2022 | 1.63 Mn |
| Jun 30, 2022 | 1.90 Mn |
| Mar 31, 2022 | 1.88 Mn |
| Dec 31, 2021 | 1.28 Mn |
| Sep 30, 2021 | 1.23 Mn |
API Access
Dogwood 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=DWTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "DWTX", "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=DWTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();