Oddity Tech (ODD) Retained Earnings (2022 - 2026)
Oddity Tech (ODD) recorded Retained Earnings of $305.54 million in the quarter ended Jun 30, 2026, up 5.2% from $290.39 million a year earlier and up 4.4% from the prior quarter.
Oddity Tech (ODD) Retained Earnings (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Oddity Tech reported Retained Earnings of $314.01 million, up 54.5% from the prior year.
- Annual Retained Earnings has increased for three straight years, with a three-year compound annual growth rate of 93.6% (years ended Dec 2022 to Dec 2025).
- Across earlier years, Retained Earnings came in at $203.27 million in the year ended Dec 31, 2024 (+99.7%), $101.78 million in the year ended Dec 31, 2023 (+135.4%) and $43.24 million in the year ended Dec 31, 2022.
- Quarterly Retained Earnings has ranged from $43.24 million in the quarter ended Dec 31, 2022 to $314.01 million in the quarter ended Dec 31, 2025 over the past five years.
- On a year-over-year basis, Retained Earnings has increased for nine consecutive quarters, with growth averaging 60.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 5.2% (the quarter ended Jun 30, 2026) to 135.4% (the quarter ended Dec 31, 2023).
- Per Business Quant, the preceding three quarters came in at $292.65 million (quarter ended Mar 31, 2026), $314.01 million (quarter ended Dec 31, 2025) and $308.13 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 135.85 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 27.09 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 11.34 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | -70.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 9.77 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 7.04 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 386.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | -89.33 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 853.00 Mn |
| 10 | Oddity Tech | 1.00 Bn | -513.56 Mn | 123.95 Mn | 305.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 305.54 Mn |
| Mar 31, 2026 | 292.65 Mn |
| Dec 31, 2025 | 314.01 Mn |
| Sep 30, 2025 | 308.13 Mn |
| Jun 30, 2025 | 290.39 Mn |
| Mar 31, 2025 | 241.10 Mn |
| Dec 31, 2024 | 203.27 Mn |
| Sep 30, 2024 | 197.97 Mn |
| Jun 30, 2024 | 180.25 Mn |
| Mar 31, 2024 | 134.76 Mn |
| Dec 31, 2023 | 101.78 Mn |
| Sep 30, 2023 | 96.67 Mn |
| Jun 30, 2023 | 92.83 Mn |
| Dec 31, 2022 | 43.24 Mn |
Oddity Tech Retained Earnings 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=retained-earnings&ticker=ODD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=ODD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();