Oddity Tech (ODD) Other Accumulated Expenses (2022 - 2026)
Oddity Tech (ODD) recorded Other Accumulated Expenses of $44.35 million in the quarter ended Jun 30, 2026, down 4.0% from $46.18 million a year earlier and down 13.7% from the prior quarter.
Oddity Tech (ODD) Other Accumulated Expenses (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Oddity Tech reported Other Accumulated Expenses of $32.87 million, down 14.8% from the prior year.
- Annual Other Accumulated Expenses has a four-year compound annual growth rate of 180.6% (years ended Dec 2021 to Dec 2025).
- Across earlier years, Other Accumulated Expenses came in at $38.57 million in the year ended Dec 31, 2024 (-21.8%), $49.33 million in the year ended Dec 31, 2023 (+30.5%), $37.79 million in the year ended Dec 31, 2022 and $530,000 in the year ended Dec 31, 2021.
- Quarterly Other Accumulated Expenses has ranged from $45,000 in the quarter ended Dec 31, 2023 to $69.07 million in the quarter ended Mar 31, 2024 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses rose in two of the last seven quarters, with an average decline of 13.7%.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 24.0% in the quarter ended Mar 31, 2026, against a decline of 92.5% in the quarter ended Dec 31, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $51.37 million (quarter ended Mar 31, 2026), $32.87 million (quarter ended Dec 31, 2025) and $36.74 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 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 |
| 10 | Oddity Tech | 1.06 Bn | -453.22 Mn | 123.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.35 Mn |
| Mar 31, 2026 | 51.37 Mn |
| Dec 31, 2025 | 32.87 Mn |
| Sep 30, 2025 | 36.74 Mn |
| Jun 30, 2025 | 46.18 Mn |
| Mar 31, 2025 | 41.42 Mn |
| Dec 31, 2024 | 38.57 Mn |
| Sep 30, 2024 | 56.53 Mn |
| Jun 30, 2024 | 66.07 Mn |
| Mar 31, 2024 | 69.07 Mn |
| Dec 31, 2023 | 45,000.00 |
| Sep 30, 2023 | 54.23 Mn |
| Jun 30, 2023 | 56.63 Mn |
| Mar 31, 2023 | 228,000.00 |
| Dec 31, 2022 | 597,000.00 |
| Sep 30, 2022 | 826,000.00 |
| Jun 30, 2022 | 160,000.00 |
Oddity Tech Other Accumulated 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=other-accumulated-expenses&ticker=ODD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=ODD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();