Oddity Tech (ODD) Non Operating Interest Expenses (2022 - 2023)
Oddity Tech (ODD) reported Non Operating Interest Expenses of -$1.4 million for the quarter ended Dec 31, 2023, compared with $301,000 a year earlier.
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Analysis
Oddity Tech (ODD) Non Operating Interest Expenses (2022 - 2023) Analysis & Trends
For the year ended Dec 31, 2023, Oddity Tech posted Non Operating Interest Expenses of -$4.28 million.
- By year, Non Operating Interest Expenses came in at -$1.25 million in the year ended Dec 31, 2022.
- Five-year quarterly Non Operating Interest Expenses spans a low of -$2.15 million in the quarter ended Sep 30, 2023 and a high of $301,000 in the quarter ended Dec 31, 2022.
Peer Set
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 | Oddity Tech | 1.06 Bn | -453.22 Mn | 123.95 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -1.40 Mn |
| Sep 30, 2023 | -2.15 Mn |
| Dec 31, 2022 | 301,000.00 |
| Sep 30, 2022 | 138,000.00 |
API Access
Oddity Tech 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=ODD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "ODD", "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=ODD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();