Avery Dennison (AVY) Other Operating Expenses (2011 - 2021)
Avery Dennison (AVY) reported Other Operating Expenses of -$900,000 for Q4 2018, compared with $1.6 million a year earlier.
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Analysis
Avery Dennison (AVY) Other Operating Expenses (2011 - 2021) Analysis & Trends
For FY2018, Avery Dennison posted Other Operating Expenses of -$6.8 million.
- By year, Other Operating Expenses came in at -$12.2 million in FY2015.
- Five-year quarterly Other Operating Expenses spans a low of -$9.8 million in Q1 2018 and a high of $4.4 million in Q4 2016.
- Per Business Quant data, the three quarters before Q4 2018 came in at $2.5 million (Q3 2018), $1.4 million (Q2 2018) and -$9.8 million (Q1 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 239.54 Bn | 223.24 Bn | 4.44 Bn |
| 2 | Corning | 96.61 Bn | 88.91 Bn | 1.81 Bn |
| 3 | Sherwin Williams | 85.84 Bn | 84.86 Bn | 3.28 Bn |
| 4 | Air Products & Chemicals | 69.53 Bn | 72.40 Bn | - |
| 5 | LyondellBasell Industries | 39.13 Bn | 27.31 Bn | 1.50 Bn |
| 6 | Nutrien | 34.78 Bn | 31.35 Bn | 1.86 Bn |
| 7 | Ppg Industries | 27.48 Bn | 20.55 Bn | 1.76 Bn |
| 8 | Qnity Electronics | 25.83 Bn | 22.27 Bn | 743.00 Mn |
| 9 | Ati | 24.82 Bn | 22.90 Bn | 380.20 Mn |
| 10 | Avery Dennison | 14.29 Bn | 13.34 Bn | 654.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 2, 2021 | 500,000.00 |
| Jul 3, 2021 | -100,000.00 |
| Jun 27, 2020 | -200,000.00 |
| Sep 28, 2019 | 3.40 Mn |
| Oct 3, 2015 | -200,000.00 |
| Jul 4, 2015 | -1.00 Mn |
| Apr 4, 2015 | 500,000.00 |
| Jun 29, 2013 | -2.50 Mn |
| Oct 1, 2011 | -400,000.00 |
API Access
Avery Dennison 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=AVY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "AVY", "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=AVY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();