Oddity Tech (ODD) Non-cash Items (2022 - 2026)
Oddity Tech's Non-cash Items came in at $485,000 for the quarter ended Jun 30, 2026, compared with -$1.97 million a year earlier.
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Analysis
Oddity Tech (ODD) Non-cash Items (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Oddity Tech reported Non-cash Items of -$5.38 million; for the year ended Dec 31, 2025, it was -$8.34 million.
- Going back by year, Non-cash Items was -$5.17 million in the year ended Dec 31, 2024.
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Non-cash Items in data going back to the quarter ended Jun 30, 2024.
- Business Quant data shows ODD's Non-cash Items at -$2.61 million (quarter ended Mar 31, 2026), -$1.6 million (quarter ended Dec 31, 2025) and -$1.66 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 368.93 Bn | 324.69 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 74.95 Bn | 69.68 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 38.06 Bn | 26.13 Bn | 2.74 Bn |
| 4 | Kenvue | 36.82 Bn | 32.43 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 35.72 Bn | 32.92 Bn | 1.60 Bn |
| 6 | Church & Dwight | 24.93 Bn | 23.46 Bn | 693.90 Mn |
| 7 | Clorox | 10.49 Bn | 8.76 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.81 Bn | 5.79 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.80 Bn | 4.47 Bn | 245.00 Mn |
| 10 | Oddity Tech | 1.33 Bn | -183.83 Mn | 123.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -2.61 Mn |
| Mar 31, 2025 | -3.11 Mn |
| Jun 30, 2023 | 300,000.00 |
| Sep 30, 2022 | 21,000.00 |
API Access
Oddity Tech Non-cash Items 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-cash-items&ticker=ODD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "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-cash-items&ticker=ODD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();