TFA Therapeutics (RAJAF) Total Non-Current Liabilities (2020 - 2025)
TFA Therapeutics' Total Non-Current Liabilities came in at $4.95 million for Q4 2025, up 3.6% from $4.78 million a year earlier.
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Analysis
TFA Therapeutics (RAJAF) Total Non-Current Liabilities (2020 - 2025) Analysis & Trends
Going back to Q4 2020, TFA Therapeutics' Total Non-Current Liabilities data covers 6 quarters.
- Total Non-Current Liabilities has increased in each of the last three years, with a five-year compound annual growth rate of 26.1% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $4.78 million in FY2024 (+37.8%), $3.47 million in FY2023 (+107.7%), $1.67 million in FY2022 (-15.1%) and $1.97 million in FY2021 (+26.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 367.14 Bn | 322.89 Bn | 10.28 Bn | 67.30 Bn |
| 2 | Colgate Palmolive | 74.80 Bn | 69.53 Bn | 3.30 Bn | 14.17 Bn |
| 3 | Estee Lauder Companies | 37.60 Bn | 25.67 Bn | 2.74 Bn | 9.73 Bn |
| 4 | Kenvue | 36.63 Bn | 32.25 Bn | 2.30 Bn | 15.61 Bn |
| 5 | Kimberly Clark | 35.53 Bn | 32.72 Bn | 1.60 Bn | 16.06 Bn |
| 6 | Church & Dwight | 24.88 Bn | 23.41 Bn | 693.90 Mn | 4.43 Bn |
| 7 | Clorox | 10.33 Bn | 8.61 Bn | 804.00 Mn | 7.14 Bn |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.71 Bn | 398.84 Mn | 1.24 Bn |
| 9 | Reynolds Consumer Products | 4.77 Bn | 4.44 Bn | 245.00 Mn | 2.66 Bn |
| 10 | TFA Therapeutics | 1.02 Bn | 1.02 Bn | - | 4.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.71 Mn |
| Dec 31, 2024 | 4.56 Mn |
| Dec 31, 2023 | 3.43 Mn |
| Dec 31, 2022 | 1.67 Mn |
| Dec 31, 2021 | 1.97 Mn |
| Dec 31, 2020 | 1.55 Mn |
API Access
TFA Therapeutics Total Non-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-non-current-liabilities&ticker=RAJAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=RAJAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();