Niagen Bioscience (NAGE) Non Operating Interest Expenses (2010 - 2022)
Niagen Bioscience's Non Operating Interest Expenses was $5,000 in Q3 2022, down 66.7% from $15,000 a year earlier and down 50.0% from the prior quarter.
Niagen Bioscience (NAGE) Non Operating Interest Expenses (2010 - 2022) Analysis & Trends
On a trailing twelve-month basis, Niagen Bioscience's Non Operating Interest Expenses was $32,000 through Sep 30, 2022, down 48.4% year-over-year; for FY2021, it came in at $55,000, down 22.5% from FY2020.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of -30.3% (FY2016 to FY2021).
- In earlier years, Non Operating Interest Expenses was $71,000 in FY2020 (-91.6%), $847,000 in FY2019 (+972.2%), $79,000 in FY2018 (-48.4%) and $153,000 in FY2017 (-54.1%).
- The Q3 2022 figure marks the lowest quarterly Non Operating Interest Expenses since Q4 2019.
- Compared with a year earlier, Non Operating Interest Expenses has declined for six straight quarters, with an average decline of 42.7% over the last six quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q4 2017 (growth of 139.7%); the worst was Q2 2020 (a decline of 95.8%).
- Per Business Quant data, NAGE's Non Operating Interest Expenses in the three quarters before Q3 2022 was $10,000 (Q2 2022), $8,000 (Q1 2022) and $9,000 (Q4 2021).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 236.00 Mn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 62.00 Mn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | - |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 81.00 Mn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 53.00 Mn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 24.20 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 55.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 22.00 Mn |
| 10 | Niagen Bioscience | 230.41 Mn | -31.96 Mn | 19.31 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 5,000.00 |
| Jun 30, 2022 | 10,000.00 |
| Mar 31, 2022 | 8,000.00 |
| Dec 31, 2021 | 9,000.00 |
| Sep 30, 2021 | 15,000.00 |
| Jun 30, 2021 | 12,000.00 |
| Mar 31, 2021 | 19,000.00 |
| Dec 31, 2020 | 16,000.00 |
| Sep 30, 2020 | 19,000.00 |
| Jun 30, 2020 | 24,000.00 |
| Dec 31, 2019 | -7,000.00 |
| Sep 30, 2019 | 314,000.00 |
| Jun 30, 2019 | 575,000.00 |
| Dec 31, 2018 | -22,000.00 |
| Sep 30, 2018 | 9,000.00 |
| Jun 30, 2018 | 48,000.00 |
| Mar 31, 2018 | 44,000.00 |
| Dec 30, 2017 | 44,000.00 |
| Sep 30, 2017 | 45,000.00 |
| Jul 1, 2017 | 36,000.00 |
Niagen Bioscience Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=NAGE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=NAGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();