Fitlife Brands (FTLF) Selling, General & Administrative (2011 - 2026)
Fitlife Brands' Selling, General & Administrative came in at $4.76 million for Q2 2026, up 91.3% from $2.49 million a year earlier.
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Analysis
Fitlife Brands (FTLF) Selling, General & Administrative (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Fitlife Brands reported Selling, General & Administrative of $16.28 million, up 63.9% year-over-year; for FY2025, it came in at $14.04 million, up 40.8% from FY2024.
- Selling, General & Administrative has increased in each of the last three years, with a five-year compound annual growth rate of 35.7% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $9.97 million in FY2024 (+26.5%), $7.89 million in FY2023 (+31.2%), $6.01 million in FY2022 (-3.3%) and $6.22 million in FY2021 (+104.0%).
- The five-year range for quarterly Selling, General & Administrative is $1.39 million (Q4 2022) to $4.93 million (Q4 2025).
- Year-over-year, Selling, General & Administrative increased in five of the last seven quarters, with growth averaging 41.7%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q4 2021 (growth of 148.0%), and the weakest in Q4 2022 (a decline of 10.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 1.54 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 2.48 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 298.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Fitlife Brands | 87.34 Mn | 79.50 Mn | 9.81 Mn | 4.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.76 Mn |
| Dec 31, 2025 | 4.93 Mn |
| Sep 30, 2025 | 4.11 Mn |
| Jun 30, 2025 | 2.49 Mn |
| Mar 31, 2025 | 2.51 Mn |
| Dec 31, 2024 | 2.29 Mn |
| Sep 30, 2024 | 2.65 Mn |
| Jun 30, 2024 | 2.53 Mn |
| Mar 31, 2024 | 2.51 Mn |
| Dec 31, 2023 | 2.49 Mn |
| Sep 30, 2023 | 1.90 Mn |
| Jun 30, 2023 | 1.79 Mn |
| Mar 31, 2023 | 2.34 Mn |
| Dec 31, 2022 | 1.39 Mn |
| Sep 30, 2022 | 1.68 Mn |
| Jun 30, 2022 | 1.45 Mn |
| Mar 31, 2022 | 1.50 Mn |
| Dec 31, 2021 | 1.56 Mn |
| Sep 30, 2021 | 1.50 Mn |
| Jun 30, 2021 | 917,000.00 |
API Access
Fitlife Brands 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=FTLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "FTLF", "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=FTLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();