Newell Brands (NWL) Operating Expenses (2009 - 2026)
Newell Brands (NWL) posted Operating Expenses of $529 million for Q2 2026, up 2.9% from $514 million a year earlier and up 10.4% from the prior quarter.
Newell Brands (NWL) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Newell Brands was $2.06 billion, down 2.2% year-over-year; for FY2025, it came in at $2.05 billion, down 3.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- In prior years, Newell Brands' Operating Expenses was $2.13 billion in FY2024 (+1.5%), $2.1 billion in FY2023 (+2.3%), $2.05 billion in FY2022 (-10.6%) and $2.29 billion in FY2021 (+3.6%).
- Quarterly Operating Expenses has run from a low of $470 million in Q3 2022 to a high of $607 million in Q4 2021 over five years.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with an average decline of 0.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2023, with growth of 10.0%; the weakest was Q3 2022, with a decline of 17.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $479 million (Q1 2026), $554 million (Q4 2025) and $497 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn | 680.96 Mn |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn | - |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 550.90 Mn |
| 4 | Newell Brands | 2.32 Bn | 1.47 Bn | 812.00 Mn | 529.00 Mn |
| 5 | Sonos | 2.13 Bn | 1.02 Bn | 189.31 Mn | 157.78 Mn |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn | 412.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 96.68 Mn |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn | 344.20 Mn |
| 9 | Arhaus | 1.36 Bn | 443.23 Mn | 172.07 Mn | 117.81 Mn |
| 10 | Cricut | 1.33 Bn | 300.62 Mn | 116.41 Mn | 68.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 529.00 Mn |
| Mar 31, 2026 | 479.00 Mn |
| Dec 31, 2025 | 554.00 Mn |
| Sep 30, 2025 | 497.00 Mn |
| Jun 30, 2025 | 514.00 Mn |
| Mar 31, 2025 | 482.00 Mn |
| Dec 31, 2024 | 570.00 Mn |
| Sep 30, 2024 | 540.00 Mn |
| Jun 30, 2024 | 530.00 Mn |
| Mar 31, 2024 | 488.00 Mn |
| Dec 31, 2023 | 563.00 Mn |
| Sep 30, 2023 | 517.00 Mn |
| Jun 30, 2023 | 498.00 Mn |
| Mar 31, 2023 | 518.00 Mn |
| Dec 31, 2022 | 547.00 Mn |
| Sep 30, 2022 | 470.00 Mn |
| Jun 30, 2022 | 508.00 Mn |
| Mar 31, 2022 | 523.00 Mn |
| Dec 31, 2021 | 607.00 Mn |
| Sep 30, 2021 | 567.00 Mn |
Newell Brands 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=NWL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NWL", "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=NWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();