Niagen Bioscience (NAGE) Selling, General & Administrative (2009 - 2026)
Niagen Bioscience's Selling, General & Administrative was $6.97 million in Q2 2026, down 4.1% from $7.27 million a year earlier and down 3.8% from the prior quarter.
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Analysis
Niagen Bioscience (NAGE) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Niagen Bioscience's Selling, General & Administrative was $28.82 million through Jun 30, 2026, up 45.5% year-over-year; for FY2025, it was $27.06 million, up 47.2% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of -2.5% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $18.38 million in FY2024 (-26.4%), $24.98 million in FY2023 (-11.7%), $28.29 million in FY2022 (-22.2%) and $36.38 million in FY2021 (+18.2%).
- The Q2 2026 figure marks the lowest quarterly Selling, General & Administrative since Q1 2025.
- Compared with a year earlier, Selling, General & Administrative was higher in five of the last eight quarters, with growth averaging 76.3%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2025 (growth of 608.7%); the worst was Q4 2024 (a decline of 80.6%).
- Per Business Quant data, NAGE's Selling, General & Administrative in the three quarters before Q2 2026 was $7.24 million (Q1 2026), $7.48 million (Q4 2025) and $7.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 5.66 Bn |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 2.11 Bn |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 2.37 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.57 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 | 267.30 Mn |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 290.00 Mn |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | 300.12 Mn |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 106.00 Mn |
| 10 | Niagen Bioscience | 169.91 Mn | -97.67 Mn | 17.11 Mn | 8.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.18 Mn |
| Jun 30, 2026 | 6.97 Mn |
| Mar 31, 2026 | 7.24 Mn |
| Dec 31, 2025 | 7.48 Mn |
| Sep 30, 2025 | 7.13 Mn |
| Jun 30, 2025 | 7.27 Mn |
| Mar 31, 2025 | 5.18 Mn |
| Dec 31, 2024 | 1.06 Mn |
| Sep 30, 2024 | 6.30 Mn |
| Jun 30, 2024 | 5.66 Mn |
| Mar 31, 2024 | 5.35 Mn |
| Dec 31, 2023 | 5.43 Mn |
| Sep 30, 2023 | 5.84 Mn |
| Jun 30, 2023 | 7.30 Mn |
| Mar 31, 2023 | 6.42 Mn |
| Dec 31, 2022 | 5.99 Mn |
| Sep 30, 2022 | 6.18 Mn |
| Jun 30, 2022 | 7.16 Mn |
| Mar 31, 2022 | 8.95 Mn |
| Dec 31, 2021 | 6.50 Mn |
API Access
Niagen Bioscience Selling, General & Administrative 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=selling-general-and-administrative&ticker=NAGE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=NAGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();