Aptargroup (ATR) Other Operating Expenses (2009 - 2026)
Aptargroup's Other Operating Expenses came in at $829.89 million for Q2 2026, up 9.0% from $761.2 million a year earlier and up 2.5% from the prior quarter.
Aptargroup (ATR) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Aptargroup reported Other Operating Expenses of $3.19 billion, up 11.5% year-over-year; for FY2025, it was $3.02 billion, up 6.0% from FY2024.
- Other Operating Expenses has increased in each of the last ten years, with a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $2.85 billion in FY2024 (+0.7%), $2.83 billion in FY2023 (+3.2%), $2.75 billion in FY2022 (+3.1%) and $2.66 billion in FY2021 (+11.8%).
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses in data going back to Q2 2009.
- Year-over-year, Other Operating Expenses has increased for five consecutive quarters, with growth averaging 5.7% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q4 2025 (growth of 17.9%), and the weakest in Q1 2025 (a decline of 4.0%).
- Business Quant data shows ATR's Other Operating Expenses at $809.96 million (Q1 2026), $787.51 million (Q4 2025) and $758.35 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Aptargroup | 7.71 Bn | 6.63 Bn | 365.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 829.89 Mn |
| Mar 31, 2026 | 809.96 Mn |
| Dec 31, 2025 | 787.51 Mn |
| Sep 30, 2025 | 758.35 Mn |
| Jun 30, 2025 | 761.20 Mn |
| Mar 31, 2025 | 716.91 Mn |
| Dec 31, 2024 | 667.90 Mn |
| Sep 30, 2024 | 711.85 Mn |
| Jun 30, 2024 | 727.12 Mn |
| Mar 31, 2024 | 746.86 Mn |
| Dec 31, 2023 | 675.75 Mn |
| Sep 30, 2023 | 716.23 Mn |
| Jun 30, 2023 | 726.27 Mn |
| Mar 31, 2023 | 716.31 Mn |
| Dec 31, 2022 | 659.01 Mn |
| Sep 30, 2022 | 692.48 Mn |
| Jun 30, 2022 | 695.46 Mn |
| Mar 31, 2022 | 699.30 Mn |
| Dec 31, 2021 | 672.95 Mn |
| Sep 30, 2021 | 683.27 Mn |
Aptargroup Other 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=other-operating-expenses&ticker=ATR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=ATR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();