Newell Brands (NWL) Accumulated Expenses (2016 - 2018)
Newell Brands (NWL) posted Accumulated Expenses of $72.9 million for Q4 2018, down 27.2% from $100.1 million a year earlier and down 60.7% from the prior quarter.
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Analysis
Newell Brands (NWL) Accumulated Expenses (2016 - 2018) Analysis & Trends
Since Q4 2016, Newell Brands has reported Accumulated Expenses for 9 quarters.
- In prior years, Newell Brands' Accumulated Expenses was $100.1 million in FY2017 (-7.7%) and $108.5 million in FY2016.
- The Q4 2018 figure stands as the lowest quarterly Accumulated Expenses in data going back to Q4 2016.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last five quarters, with an average decline of 8.2% over the last five quarters.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $185.6 million (Q3 2018), $100.8 million (Q2 2018) and $185.9 million (Q1 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 31.41 Bn | 28.85 Bn | 1.17 Bn |
| 2 | Somnigroup International | 13.93 Bn | 13.48 Bn | 817.20 Mn |
| 3 | Hni | 3.39 Bn | 2.87 Bn | 678.50 Mn |
| 4 | Newell Brands | 2.32 Bn | 1.46 Bn | 649.00 Mn |
| 5 | Whirlpool | 2.03 Bn | -1.60 Bn | 473.00 Mn |
| 6 | Arhaus | 1.95 Bn | 1.03 Bn | 172.07 Mn |
| 7 | Sonos | 1.92 Bn | 820.13 Mn | 189.31 Mn |
| 8 | Cricut | 1.82 Bn | 728.79 Mn | 108.88 Mn |
| 9 | Millerknoll | 1.49 Bn | 786.33 Mn | 385.30 Mn |
| 10 | Corsair Gaming | 1.31 Bn | 766.65 Mn | 97.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 72.90 Mn |
| Sep 30, 2018 | 185.60 Mn |
| Jun 30, 2018 | 100.80 Mn |
| Mar 31, 2018 | 185.90 Mn |
| Dec 31, 2017 | 100.10 Mn |
| Sep 30, 2017 | 189.80 Mn |
| Jun 30, 2017 | 101.20 Mn |
| Mar 31, 2017 | 193.00 Mn |
| Dec 31, 2016 | 108.50 Mn |
API Access
Newell Brands Accumulated 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=accumulated-expenses&ticker=NWL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=NWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();