Fitlife Brands (FTLF) Exchange Rate Effect (2023 - 2025)
Fitlife Brands (FTLF) reported Exchange Rate Effect of -$182,000 for Q4 2025, compared with -$49,000 a year earlier.
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Analysis
Fitlife Brands (FTLF) Exchange Rate Effect (2023 - 2025) Analysis & Trends
For FY2025, Fitlife Brands posted Exchange Rate Effect of $143,000.
- By year, Exchange Rate Effect came in at $5,000 in FY2024 (-94.9%) and $98,000 in FY2023.
- The Q4 2025 figure ranks as the lowest quarterly Exchange Rate Effect in data going back to Q1 2023.
- Per Business Quant data, the three quarters before Q4 2025 came in at $186,000 (Q3 2025), $103,000 (Q2 2025) and $36,000 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 388.61 Bn | 344.36 Bn | 10.28 Bn | 8.00 Mn |
| 2 | Colgate Palmolive | 77.49 Bn | 72.21 Bn | 3.30 Bn | 13.00 Mn |
| 3 | Estee Lauder Companies | 39.05 Bn | 27.13 Bn | 2.74 Bn | 11.00 Mn |
| 4 | Kenvue | 37.79 Bn | 33.40 Bn | 2.30 Bn | 12.00 Mn |
| 5 | Kimberly Clark | 36.87 Bn | 34.07 Bn | 1.60 Bn | 1.00 Mn |
| 6 | Church & Dwight | 25.67 Bn | 24.19 Bn | 693.90 Mn | -200,000.00 |
| 7 | Clorox | 10.68 Bn | 8.95 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.74 Bn | 5.72 Bn | 398.84 Mn | 22,000.00 |
| 9 | Reynolds Consumer Products | 4.92 Bn | 4.59 Bn | 245.00 Mn | - |
| 10 | Fitlife Brands | 78.09 Mn | 70.25 Mn | 9.81 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -182,000.00 |
| Sep 30, 2025 | 186,000.00 |
| Jun 30, 2025 | 103,000.00 |
| Mar 31, 2025 | 36,000.00 |
| Dec 31, 2024 | -49,000.00 |
| Sep 30, 2024 | 63,000.00 |
| Mar 31, 2024 | -9,000.00 |
| Dec 31, 2023 | 101,000.00 |
| Sep 30, 2023 | -43,000.00 |
| Jun 30, 2023 | 23,000.00 |
| Mar 31, 2023 | 17,000.00 |
API Access
Fitlife Brands Exchange Rate Effect 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=exchange-rate-effect&ticker=FTLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=FTLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();