Niagen Bioscience (NAGE) Cash & Equivalents (2009 - 2026)
Niagen Bioscience (NAGE) recorded Cash & Equivalents of $66.74 million in Q2 2026, up 10.4% from $60.47 million a year earlier and up 0.3% from the prior quarter.
Niagen Bioscience (NAGE) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Niagen Bioscience reported Cash & Equivalents of $64.79 million, up 45.1% from FY2024.
- Annual Cash & Equivalents has increased for three straight years, with a five-year compound annual growth rate of 31.2% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $44.66 million in FY2024 (+63.4%), $27.33 million in FY2023 (+33.7%), $20.44 million in FY2022 (-27.6%) and $28.22 million in FY2021 (+69.0%).
- The Q2 2026 figure is the highest quarterly Cash & Equivalents in data going back to Q4 2015.
- On a year-over-year basis, Cash & Equivalents has increased for 14 consecutive quarters, with growth averaging 59.6% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 116.9% in Q2 2025, against a decline of 59.9% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $66.55 million (Q1 2026), $64.79 million (Q4 2025) and $64.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 15.37 Bn |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 1.53 Bn |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 3.20 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.04 Bn |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | 1.87 Bn |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | 446.90 Mn |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 184.00 Mn |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | 350.80 Mn |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 25.00 Mn |
| 10 | Niagen Bioscience | 169.91 Mn | -97.67 Mn | 17.11 Mn | 69.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 69.51 Mn |
| Jun 30, 2026 | 66.74 Mn |
| Mar 31, 2026 | 66.55 Mn |
| Dec 31, 2025 | 64.79 Mn |
| Sep 30, 2025 | 64.29 Mn |
| Jun 30, 2025 | 60.47 Mn |
| Mar 31, 2025 | 55.62 Mn |
| Dec 31, 2024 | 44.66 Mn |
| Sep 30, 2024 | 32.40 Mn |
| Jun 30, 2024 | 27.89 Mn |
| Mar 31, 2024 | 27.57 Mn |
| Dec 31, 2023 | 27.33 Mn |
| Sep 30, 2023 | 26.77 Mn |
| Jun 30, 2023 | 26.41 Mn |
| Mar 31, 2023 | 23.14 Mn |
| Dec 31, 2022 | 20.44 Mn |
| Sep 30, 2022 | 13.26 Mn |
| Jun 30, 2022 | 17.07 Mn |
| Mar 31, 2022 | 20.99 Mn |
| Dec 31, 2021 | 28.22 Mn |
Niagen Bioscience Cash & Equivalents 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=cash-and-equivalents&ticker=NAGE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=NAGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();