Aptargroup (ATR) Total Current Liabilities (2009 - 2026)
Aptargroup (ATR) posted Total Current Liabilities of $1.14 billion for Q2 2026, down 17.0% from $1.37 billion a year earlier but up 6.9% from the prior quarter.
Aptargroup (ATR) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Aptargroup's Total Current Liabilities came in at $1.17 billion, up 9.2% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- In prior years, Aptargroup's Total Current Liabilities was $1.07 billion in FY2024 (-14.6%), $1.25 billion in FY2023 (+36.4%), $917.18 million in FY2022 (-6.6%) and $982.49 million in FY2021 (+25.9%).
- Quarterly Total Current Liabilities has run from a low of $822.03 million in Q2 2022 to a high of $1.5 billion in Q3 2025 over five years.
- On a year-over-year basis, Total Current Liabilities increased in four of the last eight quarters, with growth averaging 1.6%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q3 2025, with growth of 46.0%; the weakest was Q2 2026, with a decline of 17.0%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $1.06 billion (Q1 2026), $1.17 billion (Q4 2025) and $1.5 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 323.04 Bn | 294.74 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 182.46 Bn | 177.04 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 169.69 Bn | 137.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 142.57 Bn | 139.75 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 113.29 Bn | 111.42 Bn | 2.25 Bn | 6.10 Bn |
| 6 | 3M | 90.26 Bn | 71.71 Bn | 2.78 Bn | 11.87 Bn |
| 7 | Emerson Electric | 87.35 Bn | 80.08 Bn | 2.66 Bn | 10.77 Bn |
| 8 | Illinois Tool Works | 78.78 Bn | 75.34 Bn | 1.90 Bn | 5.95 Bn |
| 9 | Vertiv Holdings | 75.75 Bn | 66.37 Bn | 1.23 Bn | 7.24 Bn |
| 10 | Aptargroup | 8.11 Bn | 7.01 Bn | 365.52 Mn | 1.14 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.14 Bn |
| Mar 31, 2026 | 1.06 Bn |
| Dec 31, 2025 | 1.17 Bn |
| Sep 30, 2025 | 1.50 Bn |
| Jun 30, 2025 | 1.37 Bn |
| Mar 31, 2025 | 1.21 Bn |
| Dec 31, 2024 | 1.07 Bn |
| Sep 30, 2024 | 1.03 Bn |
| Jun 30, 2024 | 1.17 Bn |
| Mar 31, 2024 | 1.20 Bn |
| Dec 31, 2023 | 1.25 Bn |
| Sep 30, 2023 | 1.23 Bn |
| Jun 30, 2023 | 1.03 Bn |
| Mar 31, 2023 | 1.04 Bn |
| Dec 31, 2022 | 917.18 Mn |
| Sep 30, 2022 | 896.65 Mn |
| Jun 30, 2022 | 822.03 Mn |
| Mar 31, 2022 | 861.49 Mn |
| Dec 31, 2021 | 982.49 Mn |
| Sep 30, 2021 | 908.37 Mn |
Aptargroup Total Current 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-current-liabilities&ticker=ATR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=ATR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();