Air T (AIRT) Change in Other Operating Liabilities (2010 - 2019)
Analysis
Air T (AIRT) Change in Other Operating Liabilities (2010 - 2019) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 344.46 Bn | 302.98 Bn | 5.02 Bn | 934.00 Mn |
| 2 | Rtx | 265.15 Bn | 233.42 Bn | 5.81 Bn | -980.00 Mn |
| 3 | Boeing | 138.50 Bn | 47.45 Bn | 2.17 Bn | 3.37 Bn |
| 4 | Lockheed Martin | 135.29 Bn | 119.53 Bn | 2.44 Bn | 493.00 Mn |
| 5 | General Dynamics | 98.06 Bn | 83.30 Bn | 2.25 Bn | 64.00 Mn |
| 6 | Motorola Solutions | 86.61 Bn | 83.08 Bn | 1.77 Bn | - |
| 7 | Howmet Aerospace | 85.96 Bn | 81.71 Bn | 1.00 Bn | 62.00 Mn |
| 8 | Northrop Grumman | 77.12 Bn | 64.58 Bn | 2.35 Bn | 15.00 Mn |
| 9 | Honeywell International | 72.18 Bn | 31.69 Bn | 2.02 Bn | - |
| 10 | Air T | 76.86 Mn | -19.06 Mn | 70.16 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 94,482.00 |
| Mar 31, 2019 | -177,162.00 |
| Dec 31, 2018 | 273,029.00 |
| Sep 30, 2018 | 164,240.00 |
| Jun 30, 2018 | 75,525.00 |
| Mar 31, 2018 | -95,445.00 |
| Dec 31, 2017 | 91,947.00 |
| Sep 30, 2017 | 51,238.00 |
| Jun 30, 2017 | 74,946.00 |
| Mar 31, 2017 | 39,794.00 |
| Dec 31, 2016 | -137,236.00 |
| Sep 30, 2016 | -235,380.00 |
| Jun 30, 2016 | -207,494.00 |
| Mar 31, 2016 | 169,763.00 |
| Dec 31, 2015 | -129,753.00 |
| Sep 30, 2015 | -71,144.00 |
| Jun 30, 2015 | 9,528.00 |
| Mar 31, 2015 | -125,398.00 |
| Dec 31, 2014 | 29,845.00 |
| Sep 30, 2014 | -128,401.00 |
API Access
Air T Change in Other Operating Liabilities 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=change-in-other-operating-liabilities&ticker=AIRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-liabilities", "ticker": "AIRT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-other-operating-liabilities&ticker=AIRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();