Oddity Tech (ODD) Cash from Operations (2022 - 2026)
Oddity Tech (ODD) recorded Cash from Operations of $14.29 million in the quarter ended Jun 30, 2026, up 9.5% from $13.05 million a year earlier.
Oddity Tech (ODD) Cash from Operations (2022 - 2026) Analysis & Trends
On a TTM basis, Oddity Tech's Cash from Operations came in at -$19.75 million as of Jun 30, 2026; for the year ended Dec 31, 2025, it was $87.58 million, down 36.4% from the prior year.
- Annual Cash from Operations has a four-year compound annual growth rate of 71.1% (years ended Dec 2021 to Dec 2025).
- Across earlier years, Cash from Operations came in at $137.76 million in the year ended Dec 31, 2024 (+57.5%), $87.46 million in the year ended Dec 31, 2023 (+124.1%), $39.03 million in the year ended Dec 31, 2022 (+281.8%) and $10.22 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Cash from Operations since the quarter ended Mar 31, 2025.
- On a year-over-year basis, Cash from Operations rose in four of the last five quarters, with growth averaging 85.3%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 351.0% in the quarter ended Sep 30, 2024, against a decline of 60.0% in the quarter ended Dec 31, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -$20.23 million (quarter ended Mar 31, 2026), -$4.95 million (quarter ended Dec 31, 2025) and -$8.85 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 5.13 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 995.00 Mn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 576.00 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 688.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 908.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 286.80 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 111.67 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 102.00 Mn |
| 10 | Oddity Tech | 1.00 Bn | -513.56 Mn | 123.95 Mn | 14.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.29 Mn |
| Mar 31, 2026 | -20.23 Mn |
| Dec 31, 2025 | -4.95 Mn |
| Sep 30, 2025 | -8.85 Mn |
| Jun 30, 2025 | 13.05 Mn |
| Mar 31, 2025 | 88.34 Mn |
| Dec 31, 2024 | 16.17 Mn |
| Sep 30, 2024 | 16.16 Mn |
| Jun 30, 2024 | 25.79 Mn |
| Mar 31, 2024 | 79.65 Mn |
| Dec 31, 2023 | 7.91 Mn |
| Sep 30, 2023 | 3.58 Mn |
| Jun 30, 2023 | 22.77 Mn |
| Mar 31, 2023 | 53.20 Mn |
| Dec 31, 2022 | 19.76 Mn |
| Sep 30, 2022 | 2.72 Mn |
Oddity Tech Cash from Operations 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=cash-from-operations&ticker=ODD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=ODD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();