TFA Therapeutics (RAJAF) Selling, General & Administrative (2022 - 2023)
TFA Therapeutics (RAJAF) reported Selling, General & Administrative of $717,673 for FY2024, up 33.3% from $538,554 in FY2023.
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Analysis
TFA Therapeutics (RAJAF) Selling, General & Administrative (2022 - 2023) Analysis & Trends
Dating back to FY2020, TFA Therapeutics' Selling, General & Administrative record includes 5 years.
- Selling, General & Administrative has increased for four consecutive years, with a four-year compound annual growth rate of 74.2% (FY2020 to FY2024).
- The FY2024 figure ranks as the highest annual Selling, General & Administrative in data going back to FY2020.
- According to Business Quant data, Selling, General & Administrative came in at $538,554 in FY2023 (+60.2%), $336,235 in FY2022 (+256.4%), $94,335 in FY2021 (+20.9%) and $78,003 in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 374.56 Bn | 326.12 Bn | 11.60 Bn | 5.66 Bn |
| 2 | Colgate Palmolive | 75.02 Bn | 69.75 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Estee Lauder Companies | 39.07 Bn | 27.14 Bn | 2.74 Bn | 2.48 Bn |
| 4 | Kenvue | 37.45 Bn | 33.06 Bn | 2.30 Bn | 1.54 Bn |
| 5 | Kimberly Clark | 36.49 Bn | 33.69 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 25.00 Bn | 23.53 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 10.50 Bn | 8.78 Bn | 804.00 Mn | 298.00 Mn |
| 8 | e.l.f. Beauty | 6.72 Bn | 5.69 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.85 Bn | 4.52 Bn | 245.00 Mn | 107.00 Mn |
| 10 | TFA Therapeutics | 1.02 Bn | 1.02 Bn | - | - |
API Access
TFA Therapeutics Selling, General & Administrative 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=selling-general-and-administrative&ticker=RAJAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=RAJAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();