Inhibitor Therapeutics (INTI) Total Current Liabilities (2012 - 2026)
Inhibitor Therapeutics (INTI) recorded Total Current Liabilities of $174,894 in Q2 2026, up 25.0% from $139,961 a year earlier but down 54.3% from the prior quarter.
Inhibitor Therapeutics (INTI) Total Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Inhibitor Therapeutics reported Total Current Liabilities of $766,330, up 8.0% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $709,618 in FY2024 (+6.7%), $665,164 in FY2023 (-2.0%), $678,782 in FY2022 (-0.1%) and $679,630 in FY2021 (+59.8%).
- Quarterly Total Current Liabilities has ranged from $35,527 in Q2 2024 to $1.09 million in Q3 2022 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for five consecutive quarters, with growth averaging 77.9% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 303.7% in Q1 2026, against a decline of 95.3% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $382,320 (Q1 2026), $766,330 (Q4 2025) and $87,533 (Q3 2025).
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 | Inhibitor Therapeutics | 19.12 Mn | 11.93 Mn | - | 174,894.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 174,894.00 |
| Mar 31, 2026 | 382,320.00 |
| Dec 31, 2025 | 766,330.00 |
| Sep 30, 2025 | 87,533.00 |
| Jun 30, 2025 | 139,961.00 |
| Mar 31, 2025 | 94,712.00 |
| Dec 31, 2024 | 709,618.00 |
| Sep 30, 2024 | 44,559.00 |
| Jun 30, 2024 | 35,527.00 |
| Mar 31, 2024 | 155,850.00 |
| Dec 31, 2023 | 665,164.00 |
| Sep 30, 2023 | 156,440.00 |
| Jun 30, 2023 | 43,859.00 |
| Mar 31, 2023 | 78,443.00 |
| Dec 31, 2022 | 678,782.00 |
| Sep 30, 2022 | 1.09 Mn |
| Jun 30, 2022 | 935,019.00 |
| Mar 31, 2022 | 830,214.00 |
| Dec 31, 2021 | 679,630.00 |
| Sep 30, 2021 | 590,892.00 |
Inhibitor 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=INTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "INTI", "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=INTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();