TFA Therapeutics (RAJAF) Other Accumulated Expenses (2020 - 2025)
TFA Therapeutics' Other Accumulated Expenses came in at $7,892 for Q4 2025, up 51.0% from $5,226 a year earlier.
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Analysis
TFA Therapeutics (RAJAF) Other Accumulated Expenses (2020 - 2025) Analysis & Trends
Going back to Q4 2020, TFA Therapeutics' Other Accumulated Expenses data covers 6 quarters.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -62.7% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $5,226 in FY2024 (-45.0%), $9,506 in FY2023 (-99.3%), $1.38 million in FY2022 (+23.5%) and $1.12 million in FY2021 (+2.0%).
- The Q4 2025 figure represents the highest quarterly Other Accumulated Expenses since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 373.44 Bn | 325.24 Bn | 11.60 Bn |
| 2 | Colgate Palmolive | 74.95 Bn | 70.01 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 39.37 Bn | 27.45 Bn | 2.74 Bn |
| 4 | Kenvue | 37.58 Bn | 33.19 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 36.64 Bn | 33.96 Bn | 1.60 Bn |
| 6 | Church & Dwight | 24.96 Bn | 23.48 Bn | 693.90 Mn |
| 7 | Clorox | 10.45 Bn | 8.89 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.70 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.85 Bn | 4.52 Bn | 245.00 Mn |
| 10 | TFA Therapeutics | 1.02 Bn | 1.02 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 16,640.00 |
| Dec 31, 2024 | 28,088.00 |
| Dec 31, 2023 | 9,506.00 |
| Dec 31, 2022 | 1.38 Mn |
| Dec 31, 2021 | 1.12 Mn |
| Dec 31, 2020 | 1.09 Mn |
API Access
TFA Therapeutics Other Accumulated 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=other-accumulated-expenses&ticker=RAJAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "RAJAF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=RAJAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();