Niagen Bioscience (NAGE) Assets (2011 - 2026)
Niagen Bioscience (NAGE) posted Assets of $106.59 million for Q2 2026, up 16.5% from $91.53 million a year earlier but down 6.8% from the prior quarter.
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Analysis
Niagen Bioscience (NAGE) Assets (2011 - 2026) Analysis & Trends
At the end of FY2025, Niagen Bioscience's Assets came in at $106.41 million, up 55.8% from FY2024.
- Annual Assets has increased for three consecutive years, with a five-year compound annual growth rate of 22.6% (FY2020 to FY2025).
- In prior years, Niagen Bioscience's Assets was $68.28 million in FY2024 (+24.2%), $54.96 million in FY2023 (+1.7%), $54.06 million in FY2022 (-6.5%) and $57.84 million in FY2021 (+50.8%).
- Quarterly Assets has run from a low of $45.67 million in Q3 2022 to a high of $114.33 million in Q1 2026 over five years.
- On a year-over-year basis, Assets has increased in each of the last 14 quarters, with growth averaging 42.0% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was Q3 2025, with growth of 73.6%; the weakest was Q2 2022, with a decline of 29.2%.
- According to Business Quant data, Assets for the three prior quarters was $114.33 million (Q1 2026), $106.41 million (Q4 2025) and $98.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 126.52 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 16.79 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 19.76 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 26.74 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 18.55 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 9.11 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 7.79 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 2.46 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 5.08 Bn |
| 10 | Niagen Bioscience | 235.15 Mn | -27.22 Mn | 19.31 Mn | 106.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 106.59 Mn |
| Mar 31, 2026 | 114.33 Mn |
| Dec 31, 2025 | 106.41 Mn |
| Sep 30, 2025 | 98.14 Mn |
| Jun 30, 2025 | 91.53 Mn |
| Mar 31, 2025 | 81.34 Mn |
| Dec 31, 2024 | 68.28 Mn |
| Sep 30, 2024 | 56.52 Mn |
| Jun 30, 2024 | 54.04 Mn |
| Mar 31, 2024 | 54.08 Mn |
| Dec 31, 2023 | 54.96 Mn |
| Sep 30, 2023 | 53.48 Mn |
| Jun 30, 2023 | 53.17 Mn |
| Mar 31, 2023 | 53.77 Mn |
| Dec 31, 2022 | 54.06 Mn |
| Sep 30, 2022 | 45.67 Mn |
| Jun 30, 2022 | 46.61 Mn |
| Mar 31, 2022 | 52.93 Mn |
| Dec 31, 2021 | 57.84 Mn |
| Sep 30, 2021 | 60.45 Mn |
API Access
Niagen Bioscience Assets 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=assets&ticker=NAGE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=NAGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();