Oddity Tech (ODD) EBITDA (2022 - 2026)
Oddity Tech's EBITDA came in at $2.83 million for the quarter ended Jun 30, 2026, down 95.3% from $59.75 million a year earlier.
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Analysis
Oddity Tech (ODD) EBITDA (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Oddity Tech reported EBITDA of $6.85 million, down 94.9% year-over-year; for the year ended Dec 31, 2025, it was $131.37 million, up 4.7% from the prior year.
- EBITDA has increased in each of the last four years, with a four-year compound annual growth rate of 53.7% (years ended Dec 2021 to Dec 2025).
- Going back by year, EBITDA was $125.43 million in the year ended Dec 31, 2024 (+51.3%), $82.92 million in the year ended Dec 31, 2023 (+158.5%), $32.07 million in the year ended Dec 31, 2022 (+36.4%) and $23.52 million in the year ended Dec 31, 2021.
- The five-year range for quarterly EBITDA is -$20.37 million (the quarter ended Mar 31, 2026) to $59.75 million (the quarter ended Jun 30, 2025).
- Year-over-year, EBITDA increased in three of the last seven quarters, with growth averaging 1.8%.
- The fastest year-over-year change in EBITDA over five years came in the quarter ended Dec 31, 2023 (growth of 822.9%), and the weakest in the quarter ended Jun 30, 2026 (a decline of 95.3%).
- Business Quant data shows ODD's EBITDA at -$20.37 million (quarter ended Mar 31, 2026), $4.36 million (quarter ended Dec 31, 2025) and $20.03 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) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 4.76 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 1.17 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 159.00 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 844.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 800.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 383.00 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 552.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 128.54 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 170.00 Mn |
| 10 | Oddity Tech | 1.00 Bn | -513.56 Mn | 123.95 Mn | 2.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.83 Mn |
| Mar 31, 2026 | -20.37 Mn |
| Dec 31, 2025 | 4.36 Mn |
| Sep 30, 2025 | 20.03 Mn |
| Jun 30, 2025 | 59.75 Mn |
| Mar 31, 2025 | 45.32 Mn |
| Dec 31, 2024 | 6.71 Mn |
| Sep 30, 2024 | 22.10 Mn |
| Jun 30, 2024 | 55.34 Mn |
| Mar 31, 2024 | 41.28 Mn |
| Dec 31, 2023 | 8.82 Mn |
| Sep 30, 2023 | 8.55 Mn |
| Jun 30, 2023 | 38.93 Mn |
| Mar 31, 2023 | 26.62 Mn |
| Dec 31, 2022 | 956,000.00 |
| Sep 30, 2022 | 4.82 Mn |
| Jun 30, 2022 | 21.52 Mn |
API Access
Oddity Tech EBITDA 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=ebitda&ticker=ODD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ODD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();