Faeth Therapeutics (FTH) Total Liabilities (2020 - 2026)
Faeth Therapeutics (FTH) reported Total Liabilities of $16.35 million for Q2 2026, up 265.8% from $4.47 million a year earlier but down 95.2% from the prior quarter.
Faeth Therapeutics (FTH) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Faeth Therapeutics posted Total Liabilities of $4.31 million, down 38.2% from FY2024.
- Total Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -43.9% (FY2020 to FY2025).
- By year, Total Liabilities came in at $6.98 million in FY2024 (-26.4%), $9.48 million in FY2023 (-36.7%), $14.97 million in FY2022 (+123.0%) and $6.71 million in FY2021 (-91.4%).
- Five-year quarterly Total Liabilities spans a low of $4.31 million in Q4 2025 and a high of $342.67 million in Q1 2026.
- Year over year, Total Liabilities gained in 1 of the last seven quarters, with growth averaging 9.7%.
- The high point for year-over-year Total Liabilities in five years was Q1 2022 (growth of 356.9%); the low point was Q4 2021 (a decline of 91.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $342.67 million (Q1 2026), $4.31 million (Q4 2025) and $4.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.85 Bn | 1,106.43 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 618.85 Bn | 537.37 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 503.03 Bn | 476.14 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 368.52 Bn | 322.90 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.19 Bn | 262.18 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.33 Bn | 235.02 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 237.14 Bn | 192.53 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.35 Bn | 165.54 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 169.80 Bn | 116.45 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Faeth Therapeutics | 116.05 Mn | -319.41 Mn | - | 16.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.35 Mn |
| Mar 31, 2026 | 342.67 Mn |
| Dec 31, 2025 | 4.31 Mn |
| Sep 30, 2025 | 4.58 Mn |
| Jun 30, 2025 | 4.47 Mn |
| Mar 31, 2025 | 6.29 Mn |
| Dec 31, 2024 | 6.98 Mn |
| Sep 30, 2024 | 7.48 Mn |
| Jun 30, 2024 | 7.61 Mn |
| Mar 31, 2024 | 8.22 Mn |
| Dec 31, 2023 | 9.48 Mn |
| Sep 30, 2023 | 10.66 Mn |
| Jun 30, 2023 | 10.38 Mn |
| Mar 31, 2023 | 13.08 Mn |
| Dec 31, 2022 | 14.97 Mn |
| Sep 30, 2022 | 14.82 Mn |
| Jun 30, 2022 | 12.12 Mn |
| Mar 31, 2022 | 14.73 Mn |
| Dec 31, 2021 | 6.71 Mn |
| Sep 30, 2021 | 6.04 Mn |
Faeth Therapeutics Total 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-liabilities&ticker=FTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "FTH", "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-liabilities&ticker=FTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();