Oddity Tech (ODD) Total Liabilities (2022 - 2026)
Oddity Tech (ODD) recorded Total Liabilities of $691.85 million in the quarter ended Jun 30, 2026, down 7.3% from $746.66 million a year earlier and down 7.9% from the prior quarter.
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Analysis
Oddity Tech (ODD) Total Liabilities (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Oddity Tech reported Total Liabilities of $741.3 million, up 373.4% from the prior year.
- Annual Total Liabilities has increased for three straight years, with a three-year compound annual growth rate of 84.7% (years ended Dec 2022 to Dec 2025).
- Across earlier years, Total Liabilities came in at $156.58 million in the year ended Dec 31, 2024 (+28.6%), $121.8 million in the year ended Dec 31, 2023 (+3.5%) and $117.7 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Total Liabilities since the quarter ended Mar 31, 2025.
- On a year-over-year basis, Total Liabilities rose in seven of the last eight quarters, with growth averaging 190.5%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 416.2% in the quarter ended Jun 30, 2025, against a decline of 7.3% in the quarter ended Jun 30, 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $750.92 million (quarter ended Mar 31, 2026), $741.3 million (quarter ended Dec 31, 2025) and $728.45 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 72.21 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 16.22 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 15.96 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 16.18 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 16.68 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 4.76 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 7.54 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 1.29 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 2.77 Bn |
| 10 | Oddity Tech | 1.00 Bn | -513.56 Mn | 123.95 Mn | 691.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 691.85 Mn |
| Mar 31, 2026 | 750.92 Mn |
| Dec 31, 2025 | 741.30 Mn |
| Sep 30, 2025 | 728.45 Mn |
| Jun 30, 2025 | 746.66 Mn |
| Mar 31, 2025 | 204.51 Mn |
| Dec 31, 2024 | 156.58 Mn |
| Sep 30, 2024 | 145.75 Mn |
| Jun 30, 2024 | 144.63 Mn |
| Mar 31, 2024 | 175.45 Mn |
| Dec 31, 2023 | 121.80 Mn |
| Sep 30, 2023 | 112.43 Mn |
| Jun 30, 2023 | 130.73 Mn |
| Dec 31, 2022 | 117.70 Mn |
API Access
Oddity Tech Total Liabilities 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=total-liabilities&ticker=ODD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ODD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();