Aptargroup (ATR) Other Operating Expenses (2009 - 2026)
Aptargroup's Other Operating Expenses was $818.08 million in Q2 2026, up 9.1% from $750.11 million a year earlier and up 2.6% from the prior quarter.
Aptargroup (ATR) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aptargroup's Other Operating Expenses was $3.14 billion through Jun 30, 2026, up 11.5% year-over-year; for FY2025, it came in at $2.98 billion, up 6.0% from FY2024.
- Other Operating Expenses has now increased for nine consecutive years, with a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $2.81 billion in FY2024 (+0.7%), $2.79 billion in FY2023 (+3.2%), $2.7 billion in FY2022 (+3.1%) and $2.62 billion in FY2021 (+11.9%).
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses in data going back to Q2 2009.
- Compared with a year earlier, Other Operating Expenses has increased for five straight quarters, with growth averaging 5.7% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q4 2025 (growth of 18.1%); the worst was Q1 2025 (a decline of 4.0%).
- Per Business Quant data, ATR's Other Operating Expenses in the three quarters before Q2 2026 was $797.65 million (Q1 2026), $775.84 million (Q4 2025) and $746.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn |
| 10 | Aptargroup | 9.13 Bn | 8.11 Bn | 372.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 656.49 Mn |
| Jun 30, 2026 | 672.15 Mn |
| Mar 31, 2026 | 642.36 Mn |
| Dec 31, 2025 | 636.20 Mn |
| Sep 30, 2025 | 609.56 Mn |
| Jun 30, 2025 | 610.06 Mn |
| Mar 31, 2025 | 561.64 Mn |
| Dec 31, 2024 | 529.38 Mn |
| Sep 30, 2024 | 570.24 Mn |
| Jun 30, 2024 | 577.79 Mn |
| Mar 31, 2024 | 594.08 Mn |
| Dec 31, 2023 | 537.45 Mn |
| Sep 30, 2023 | 578.09 Mn |
| Jun 30, 2023 | 584.84 Mn |
| Mar 31, 2023 | 568.38 Mn |
| Dec 31, 2022 | 531.10 Mn |
| Sep 30, 2022 | 557.05 Mn |
| Jun 30, 2022 | 560.08 Mn |
| Mar 31, 2022 | 553.76 Mn |
| Dec 31, 2021 | 532.90 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();