Albany International (AIN) Finished Goods (2015 - 2020)
Albany International's Finished Goods came in at $14.25 million for Q1 2020, down 16.0% from $16.98 million a year earlier but up 36.5% from the prior quarter.
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Analysis
Albany International (AIN) Finished Goods (2015 - 2020) Analysis & Trends
At the end of FY2019, Albany International's Finished Goods was $10.45 million, down 14.6% from FY2018.
- Finished Goods has declined in each of the last three years, with a four-year compound annual growth rate of -27.1% (FY2015 to FY2019).
- Going back by year, Finished Goods was $12.23 million in FY2018 (-57.6%), $28.86 million in FY2017 (-23.1%), $37.5 million in FY2016 (+1.5%) and $36.95 million in FY2015.
- The five-year range for quarterly Finished Goods is $10.45 million (Q4 2019) to $42.06 million (Q3 2016).
- Year-over-year, Finished Goods increased in three of the last eight quarters, with an average decline of 15.4%.
- The fastest year-over-year change in Finished Goods over five years came in Q3 2019 (growth of 37.8%), and the weakest in Q2 2018 (a decline of 62.1%).
- Business Quant data shows AIN's Finished Goods at $10.45 million (Q4 2019), $16.72 million (Q3 2019) and $16.15 million (Q2 2019) in the three quarters before Q1 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn |
| 10 | Albany International | 1.70 Bn | 1.29 Bn | 107.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 14.25 Mn |
| Dec 31, 2019 | 10.45 Mn |
| Sep 30, 2019 | 16.72 Mn |
| Jun 30, 2019 | 16.15 Mn |
| Mar 31, 2019 | 16.98 Mn |
| Dec 31, 2018 | 12.23 Mn |
| Sep 30, 2018 | 12.13 Mn |
| Jun 30, 2018 | 13.31 Mn |
| Mar 31, 2018 | 13.44 Mn |
| Dec 31, 2017 | 28.86 Mn |
| Sep 30, 2017 | 28.87 Mn |
| Jun 30, 2017 | 35.14 Mn |
| Mar 31, 2017 | 32.44 Mn |
| Dec 31, 2016 | 37.50 Mn |
| Sep 30, 2016 | 42.06 Mn |
| Jun 30, 2016 | 40.62 Mn |
| Dec 31, 2015 | 36.95 Mn |
API Access
Albany International Finished Goods 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=finished-goods&ticker=AIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "AIN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=finished-goods&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();