Air Industries (AIRI) Accumulated Expenses (2011 - 2022)
Air Industries (AIRI) recorded Accumulated Expenses of $426,000 in Q4 2022, up 3.6% from $411,000 a year earlier.
Analysis
Air Industries (AIRI) Accumulated Expenses (2011 - 2022) Analysis & Trends
Starting with Q4 2011, Air Industries' Accumulated Expenses history includes 12 quarters.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -28.2% (FY2017 to FY2022).
- Across earlier years, Accumulated Expenses came in at $411,000 in FY2021 (+22.0%), $337,000 in FY2020 (-42.0%), $581,000 in FY2019 (-70.1%) and $1.94 million in FY2018 (-13.3%).
- The Q4 2022 figure is the highest quarterly Accumulated Expenses since Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | Air Industries | 13.19 Mn | 3.55 Mn | 2.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 426,000.00 |
| Dec 31, 2021 | 411,000.00 |
| Dec 31, 2020 | 337,000.00 |
| Dec 31, 2019 | 581,000.00 |
| Dec 31, 2018 | 1.94 Mn |
| Dec 31, 2017 | 2.24 Mn |
| Dec 31, 2016 | 2.16 Mn |
| Dec 31, 2015 | 2.16 Mn |
| Dec 31, 2014 | 812,000.00 |
| Dec 31, 2013 | 793,000.00 |
| Dec 31, 2012 | 697,000.00 |
| Dec 31, 2011 | 497,000.00 |
API Access
Air Industries 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=AIRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "AIRI", "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=AIRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();