Definium Therapeutics (DFTX) Total Current Liabilities (2020 - 2026)
Definium Therapeutics (DFTX) recorded Total Current Liabilities of $157.2 million in Q2 2026, up 314.2% from $37.96 million a year earlier and up 93.8% from the prior quarter.
Definium Therapeutics (DFTX) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Definium Therapeutics reported Total Current Liabilities of $66.7 million, up 71.7% from FY2024.
- Annual Total Current Liabilities has increased for five straight years, with a five-year compound annual growth rate of 85.9% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $38.85 million in FY2024 (+20.5%), $32.25 million in FY2023 (+80.2%), $17.89 million in FY2022 (+71.9%) and $10.41 million in FY2021 (+246.0%).
- The Q2 2026 figure is the highest quarterly Total Current Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Current Liabilities has increased for four consecutive quarters, with growth averaging 76.7% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 346.2% in Q2 2023, against a decline of 53.3% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $81.11 million (Q1 2026), $66.7 million (Q4 2025) and $65.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Definium Therapeutics | 4.00 Bn | 4.00 Bn | - | 157.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 157.20 Mn |
| Mar 31, 2026 | 81.11 Mn |
| Dec 31, 2025 | 66.70 Mn |
| Sep 30, 2025 | 65.42 Mn |
| Jun 30, 2025 | 37.96 Mn |
| Mar 31, 2025 | 30.48 Mn |
| Dec 31, 2024 | 38.85 Mn |
| Sep 30, 2024 | 33.27 Mn |
| Jun 30, 2024 | 41.85 Mn |
| Mar 31, 2024 | 65.27 Mn |
| Dec 31, 2023 | 32.25 Mn |
| Sep 30, 2023 | 31.15 Mn |
| Jun 30, 2023 | 35.12 Mn |
| Mar 31, 2023 | 24.10 Mn |
| Dec 31, 2022 | 17.89 Mn |
| Sep 30, 2022 | 26.04 Mn |
| Jun 30, 2022 | 7.87 Mn |
| Mar 31, 2022 | 10.56 Mn |
| Dec 31, 2021 | 10.41 Mn |
| Dec 31, 2020 | 3.01 Mn |
Definium 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=DFTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "DFTX", "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=DFTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();