Adapti (ADTI) Operating Expenses (2009 - 2025)
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Analysis
Adapti (ADTI) Operating Expenses (2009 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | 5.66 Bn |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 2.11 Bn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | 2.41 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.60 Bn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | - |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 267.30 Mn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | 319.00 Mn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | 300.12 Mn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 106.00 Mn |
| 10 | Adapti | 80,987.29 | -1.58 Mn | 60,753.00 | 2.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.79 Mn |
| Sep 30, 2025 | 3.21 Mn |
| Jun 30, 2025 | 278,958.00 |
| Mar 31, 2025 | 226,354.00 |
| Dec 31, 2024 | 268,763.00 |
| Sep 30, 2024 | 143,345.00 |
| Jun 30, 2024 | 270,058.00 |
| Mar 31, 2024 | 163,123.00 |
| Dec 31, 2023 | 360,094.00 |
| Sep 30, 2010 | 78,042.00 |
| Jun 30, 2010 | 94,042.00 |
| Mar 31, 2010 | 62,792.00 |
| Dec 31, 2009 | 14,325.00 |
| Sep 30, 2009 | 2,509.00 |
| Jun 30, 2009 | 40,323.00 |
| Mar 31, 2009 | 40,323.00 |
API Access
Adapti Operating 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=operating-expenses&ticker=ADTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ADTI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ADTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();