Niagen Bioscience (NAGE) EV to FCF (2010 - 2026)
Niagen Bioscience's (NAGE) EV to FCF was 31.09 for Q2 2026, down 39.3% from 51.22 a year earlier and down 51.5% from the prior quarter.
Niagen Bioscience (NAGE) EV to FCF (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Niagen Bioscience's EV to FCF came in at -1.79; for FY2025, it came in at 32.75, up 8.3% from FY2024.
- By year, EV to FCF came in at 30.22 in FY2024 (+169.2%) and 11.23 in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly EV to FCF since Q1 2025.
- Year over year, EV to FCF gained in four of the last eight quarters, with growth averaging 58.5%.
- The high point for year-over-year EV to FCF in five years was Q3 2024 (growth of 336.4%); the low point was Q2 2025 (a decline of 69.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 64.12 (Q1 2026), 32.75 (Q4 2025) and 31.71 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn |
| 10 | Niagen Bioscience | 169.91 Mn | -97.67 Mn | 17.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 35.22 |
| Jun 30, 2026 | 32.60 |
| Mar 31, 2026 | 69.13 |
| Dec 31, 2025 | 33.47 |
| Sep 30, 2025 | 32.09 |
| Jun 30, 2025 | 51.89 |
| Mar 31, 2025 | 24.85 |
| Dec 31, 2024 | 30.63 |
| Sep 30, 2024 | 60.37 |
| Jun 30, 2024 | 182.54 |
| Mar 31, 2024 | 51.74 |
| Dec 31, 2023 | 11.46 |
| Sep 30, 2023 | 14.14 |
| Jun 30, 2023 | 54.27 |
| Apr 3, 2010 | 0.08 |
Niagen Bioscience EV to FCF 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=ev-to-fcf&ticker=NAGE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "ticker": "NAGE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-fcf&ticker=NAGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();