TFA Therapeutics (RAJAF) Total Liabilities (2020 - 2025)
TFA Therapeutics' Total Liabilities was $5.19 million in Q4 2025, up 3.9% from $5 million a year earlier.
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Analysis
TFA Therapeutics (RAJAF) Total Liabilities (2020 - 2025) Analysis & Trends
From Q4 2020 onward, TFA Therapeutics has reported Total Liabilities for 7 quarters.
- Total Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $5 million in FY2024 (+42.7%), $3.5 million in FY2023 (+14.6%), $3.06 million in FY2022 (-13.6%) and $3.54 million in FY2021 (+24.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 77.80 Bn |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 16.10 Bn |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 15.93 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 16.51 Bn |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | 14.65 Bn |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | 4.85 Bn |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 7.71 Bn |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | 1.34 Bn |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 2.78 Bn |
| 10 | TFA Therapeutics | 1.02 Bn | 1.02 Bn | - | 5.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 5.19 Mn |
| Dec 31, 2024 | 5.00 Mn |
| Dec 31, 2023 | 3.50 Mn |
| Sep 30, 2023 | 1.98 Mn |
| Dec 31, 2022 | 3.06 Mn |
| Dec 31, 2021 | 3.54 Mn |
| Dec 31, 2020 | 2.84 Mn |
API Access
TFA 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=RAJAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=RAJAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();