Niagen Bioscience (NAGE) Property, Plant & Equipment (Net) (2009 - 2026)
Niagen Bioscience (NAGE) posted Property, Plant & Equipment (Net) of $1.25 million for Q2 2026, down 23.6% from $1.63 million a year earlier and down 3.9% from the prior quarter.
Niagen Bioscience (NAGE) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Niagen Bioscience's Property, Plant & Equipment (Net) came in at $1.32 million, down 23.0% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for six consecutive years, with a five-year compound annual growth rate of -16.2% (FY2020 to FY2025).
- In prior years, Niagen Bioscience's Property, Plant & Equipment (Net) was $1.72 million in FY2024 (-19.6%), $2.14 million in FY2023 (-23.7%), $2.8 million in FY2022 (-6.8%) and $3 million in FY2021 (-6.3%).
- The Q2 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since Q4 2012.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last 17 quarters, with an average decline of 19.3% over the last eight quarters.
- The year-over-year decline in Property, Plant & Equipment (Net) has ranged between 6.3% (Q4 2021) and 26.4% (Q2 2024) over the last five years.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $1.3 million (Q1 2026), $1.32 million (Q4 2025) and $1.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 25.52 Bn |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 4.61 Bn |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 2.71 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 2.23 Bn |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | 7.07 Bn |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | 834.80 Mn |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 1.48 Bn |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | 37.74 Mn |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 862.00 Mn |
| 10 | Niagen Bioscience | 169.91 Mn | -97.67 Mn | 17.11 Mn | 1.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.22 Mn |
| Jun 30, 2026 | 1.25 Mn |
| Mar 31, 2026 | 1.30 Mn |
| Dec 31, 2025 | 1.32 Mn |
| Sep 30, 2025 | 1.50 Mn |
| Jun 30, 2025 | 1.63 Mn |
| Mar 31, 2025 | 1.66 Mn |
| Dec 31, 2024 | 1.72 Mn |
| Sep 30, 2024 | 1.72 Mn |
| Jun 30, 2024 | 1.84 Mn |
| Mar 31, 2024 | 2.00 Mn |
| Dec 31, 2023 | 2.14 Mn |
| Sep 30, 2023 | 2.29 Mn |
| Jun 30, 2023 | 2.50 Mn |
| Mar 31, 2023 | 2.69 Mn |
| Dec 31, 2022 | 2.80 Mn |
| Sep 30, 2022 | 2.79 Mn |
| Jun 30, 2022 | 2.90 Mn |
| Mar 31, 2022 | 2.94 Mn |
| Dec 31, 2021 | 3.00 Mn |
Niagen Bioscience Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=NAGE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=NAGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();