Niagen Bioscience (NAGE) Selling, General & Administrative (2010 - 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 (2010 - 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 | 336.76 Bn | 292.75 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | 2.48 Bn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 1.54 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 298.00 Mn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Niagen Bioscience | 220.15 Mn | -42.21 Mn | 19.31 Mn | 6.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 11.20 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();