ADC Therapeutics (ADCT) Total Current Liabilities (2019 - 2026)
ADC Therapeutics' Total Current Liabilities was $86.33 million in Q2 2026, up 33.6% from $64.6 million a year earlier and up 27.7% from the prior quarter.
ADC Therapeutics (ADCT) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at ADC Therapeutics came in at $70.16 million, down 12.8% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $80.47 million in FY2024 (+18.9%), $67.67 million in FY2023 (-17.4%), $81.94 million in FY2022 (+10.8%) and $73.94 million in FY2021 (+82.8%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities since Q3 2022.
- Compared with a year earlier, Total Current Liabilities was higher in four of the last eight quarters, with growth averaging 4.9%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q4 2021 (growth of 82.8%); the worst was Q2 2024 (a decline of 28.5%).
- Per Business Quant data, ADCT's Total Current Liabilities in the three quarters before Q2 2026 was $67.63 million (Q1 2026), $70.16 million (Q4 2025) and $62.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,131.80 Bn | 1,100.39 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 614.01 Bn | 532.53 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 503.59 Bn | 476.70 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 367.41 Bn | 321.79 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 297.81 Bn | 261.80 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.50 Bn | 235.19 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 236.24 Bn | 191.64 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 191.15 Bn | 165.35 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 170.16 Bn | 116.81 Bn | 10.94 Bn | 32.65 Bn |
| 10 | ADC Therapeutics | 224.77 Mn | -721.42 Mn | 16.90 Mn | 86.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.33 Mn |
| Mar 31, 2026 | 67.63 Mn |
| Dec 31, 2025 | 70.16 Mn |
| Sep 30, 2025 | 62.04 Mn |
| Jun 30, 2025 | 64.60 Mn |
| Mar 31, 2025 | 57.79 Mn |
| Dec 31, 2024 | 80.47 Mn |
| Sep 30, 2024 | 67.68 Mn |
| Jun 30, 2024 | 57.63 Mn |
| Mar 31, 2024 | 62.99 Mn |
| Dec 31, 2023 | 67.67 Mn |
| Sep 30, 2023 | 78.21 Mn |
| Jun 30, 2023 | 80.58 Mn |
| Mar 31, 2023 | 81.09 Mn |
| Dec 31, 2022 | 81.94 Mn |
| Sep 30, 2022 | 87.57 Mn |
| Jun 30, 2022 | 73.68 Mn |
| Mar 31, 2022 | 70.77 Mn |
| Dec 31, 2021 | 73.94 Mn |
| Sep 30, 2021 | 59.30 Mn |
ADC 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=ADCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "ADCT", "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=ADCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();