Aptargroup (ATR) Land & Improvements (2009 - 2026)
Aptargroup's Land & Improvements came in at $30.81 million for Q2 2026, down 0.7% from the prior quarter.
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Analysis
Aptargroup (ATR) Land & Improvements (2009 - 2026) Analysis & Trends
At the end of FY2025, Aptargroup's Land & Improvements was $31.5 million.
- The Q2 2026 figure represents the lowest quarterly Land & Improvements since Q2 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 323.56 Bn | 295.25 Bn | 7.76 Bn | - |
| 2 | Amphenol | 180.19 Bn | 174.89 Bn | 3.55 Bn | - |
| 3 | Deere | 173.53 Bn | 182.29 Bn | 4.66 Bn | - |
| 4 | Eaton | 143.22 Bn | 140.45 Bn | 2.86 Bn | 2.53 Bn |
| 5 | Parker-Hannifin | 112.51 Bn | 110.65 Bn | 2.25 Bn | 424.00 Mn |
| 6 | 3M | 90.71 Bn | 73.12 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 89.39 Bn | 82.15 Bn | 2.66 Bn | - |
| 8 | Illinois Tool Works | 79.53 Bn | 76.09 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 75.29 Bn | 65.91 Bn | 1.23 Bn | - |
| 10 | Aptargroup | 8.15 Bn | 7.08 Bn | 365.52 Mn | 30.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.81 Mn |
| Mar 31, 2026 | 31.04 Mn |
| Dec 31, 2025 | 31.50 Mn |
| Jun 30, 2020 | 26.36 Mn |
| Mar 31, 2020 | 24.31 Mn |
| Dec 31, 2019 | 25.13 Mn |
| Sep 30, 2019 | 24.51 Mn |
| Jun 30, 2019 | 25.36 Mn |
| Mar 31, 2019 | 25.17 Mn |
| Dec 31, 2018 | 25.52 Mn |
| Sep 30, 2018 | 25.36 Mn |
| Jun 30, 2018 | 23.63 Mn |
| Mar 31, 2018 | 24.89 Mn |
| Dec 31, 2017 | 25.83 Mn |
| Sep 30, 2017 | 25.67 Mn |
| Jun 30, 2017 | 25.02 Mn |
| Mar 31, 2017 | 23.95 Mn |
| Dec 31, 2016 | 23.09 Mn |
| Sep 30, 2016 | 24.27 Mn |
| Jun 30, 2016 | 24.12 Mn |
API Access
Aptargroup Land & Improvements 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=land-and-improvements&ticker=ATR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "ATR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=ATR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();