Air Industries (AIRI) Operating Interest Expenses (2012 - 2023)
Air Industries (AIRI) recorded Operating Interest Expenses of $398,000 in Q3 2023, up 94.1% from $205,000 a year earlier and up 9.9% from the prior quarter.
Air Industries (AIRI) Operating Interest Expenses (2012 - 2023) Analysis & Trends
On a TTM basis, Air Industries' Operating Interest Expenses came in at $1.4 million as of Sep 30, 2023, up 89.1% year-over-year; for FY2022, it was $851,000, up 5.7% from FY2021.
- Annual Operating Interest Expenses has a five-year compound annual growth rate of -24.1% (FY2017 to FY2022).
- Across earlier years, Operating Interest Expenses came in at $805,000 in FY2021 (-16.6%), $965,000 in FY2020 (-69.0%), $3.12 million in FY2019 (-20.5%) and $3.92 million in FY2018 (+15.9%).
- The Q3 2023 figure is the highest quarterly Operating Interest Expenses since Q4 2019.
- On a year-over-year basis, Operating Interest Expenses has increased for three consecutive quarters.
- Peak year-over-year performance for Operating Interest Expenses in the last five years was growth of 122.1% in Q2 2023, against a decline of 83.5% in Q4 2020 at the low end.
- Per Business Quant, the preceding three quarters came in at $362,000 (Q2 2023), $358,000 (Q1 2023) and $285,000 (Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | - |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | - |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | - |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | - |
| 10 | Air Industries | 12.51 Mn | 2.87 Mn | 2.48 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 398,000.00 |
| Jun 30, 2023 | 362,000.00 |
| Mar 31, 2023 | 358,000.00 |
| Dec 31, 2022 | 285,000.00 |
| Sep 30, 2022 | 205,000.00 |
| Jun 30, 2022 | 163,000.00 |
| Mar 31, 2022 | 198,000.00 |
| Dec 31, 2020 | 176,000.00 |
| Sep 30, 2020 | 234,000.00 |
| Jun 30, 2020 | 303,000.00 |
| Mar 31, 2020 | 252,000.00 |
| Dec 31, 2019 | 1.07 Mn |
| Sep 30, 2019 | 570,000.00 |
| Jun 30, 2019 | 630,000.00 |
| Mar 31, 2019 | 833,000.00 |
| Dec 31, 2018 | 1.45 Mn |
| Sep 30, 2018 | 830,000.00 |
| Jun 30, 2018 | 860,000.00 |
| Mar 31, 2018 | 776,000.00 |
| Dec 31, 2017 | -255,000.00 |
Air Industries Operating Interest 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-interest-expenses&ticker=AIRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-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=operating-interest-expenses&ticker=AIRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();