Faeth Therapeutics (FTH) Operating Expenses (2020 - 2026)
Faeth Therapeutics' Operating Expenses was $18.39 million in Q2 2026, up 253.2% from $5.21 million a year earlier but down 89.2% from the prior quarter.
Faeth Therapeutics (FTH) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Faeth Therapeutics' Operating Expenses was $198.82 million through Jun 30, 2026, up 595.7% year-over-year; for FY2025, it came in at $22.29 million, down 31.7% from FY2024.
- Operating Expenses has now declined for three consecutive years, though with a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $32.61 million in FY2024 (-12.0%), $37.06 million in FY2023 (-26.1%), $50.19 million in FY2022 (+33.9%) and $37.48 million in FY2021 (+92.7%).
- Quarterly Operating Expenses has moved between $4.85 million (Q3 2025) and $170.63 million (Q1 2026) over five years.
- Compared with a year earlier, Operating Expenses was higher in three of the last seven quarters, with growth averaging 18.3%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2026 (growth of 253.2%); the worst was Q3 2023 (a decline of 44.5%).
- Per Business Quant data, FTH's Operating Expenses in the three quarters before Q2 2026 was $170.63 million (Q1 2026), $4.96 million (Q4 2025) and $4.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Faeth Therapeutics | 119.02 Mn | -316.44 Mn | - | 18.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.39 Mn |
| Mar 31, 2026 | 170.63 Mn |
| Dec 31, 2025 | 4.96 Mn |
| Sep 30, 2025 | 4.85 Mn |
| Jun 30, 2025 | 5.21 Mn |
| Mar 31, 2025 | 7.27 Mn |
| Dec 31, 2024 | 8.27 Mn |
| Sep 30, 2024 | 7.82 Mn |
| Jun 30, 2024 | 7.79 Mn |
| Mar 31, 2024 | 8.73 Mn |
| Dec 31, 2023 | 8.14 Mn |
| Sep 30, 2023 | 7.74 Mn |
| Jun 30, 2023 | 10.18 Mn |
| Mar 31, 2023 | 11.01 Mn |
| Dec 31, 2022 | 13.05 Mn |
| Sep 30, 2022 | 13.94 Mn |
| Jun 30, 2022 | 10.71 Mn |
| Mar 31, 2022 | 12.49 Mn |
| Dec 31, 2021 | 9.41 Mn |
| Sep 30, 2021 | 10.32 Mn |
Faeth Therapeutics Operating Expenses 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=operating-expenses&ticker=FTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();