Niagen Bioscience (NAGE) Cash & Equivalents (2015 - 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 (2015 - 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 | 336.76 Bn | 292.75 Bn | 10.28 Bn | 9.94 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 1.37 Bn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | 3.50 Bn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 1.11 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | 956.00 Mn |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 254.80 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 143.00 Mn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 344.24 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 66.00 Mn |
| 10 | Niagen Bioscience | 220.15 Mn | -42.21 Mn | 19.31 Mn | 66.74 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 33.10 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();