Azio Ai Holdings (AZIO) Total Non-Current Liabilities (2017 - 2022)
Azio Ai Holdings (AZIO) recorded Total Non-Current Liabilities of $1.49 million in Q4 2022, down 4.8% from $1.56 million a year earlier but up 9.4% from the prior quarter.
Azio Ai Holdings (AZIO) Total Non-Current Liabilities (2017 - 2022) Analysis & Trends
Starting with Q4 2017, Azio Ai Holdings' Total Non-Current Liabilities history includes 20 quarters.
- Annual Total Non-Current Liabilities has declined for three straight years, with a five-year compound annual growth rate of -11.2% (FY2017 to FY2022).
- Across earlier years, Total Non-Current Liabilities came in at $1.56 million in FY2021 (-41.3%), $2.66 million in FY2020 (-74.3%), $10.36 million in FY2019 (+244.2%) and $3.01 million in FY2018 (+11.8%).
- Quarterly Total Non-Current Liabilities has ranged from $961,366 in Q1 2022 to $10.36 million in Q4 2019 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in two of the last eight quarters, with an average decline of 14.3%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 244.2% in Q4 2019, against a decline of 77.0% in Q2 2020 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.36 million (Q3 2022), $1.27 million (Q2 2022) and $961,366 (Q1 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | - |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Azio Ai Holdings | 16.55 Mn | 13.96 Mn | 71,329.00 | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 1.49 Mn |
| Sep 30, 2022 | 1.36 Mn |
| Jun 30, 2022 | 1.27 Mn |
| Mar 31, 2022 | 961,366.00 |
| Dec 31, 2021 | 1.56 Mn |
| Sep 30, 2021 | 1.08 Mn |
| Jun 30, 2021 | 1.61 Mn |
| Mar 31, 2021 | 1.88 Mn |
| Dec 31, 2020 | 2.66 Mn |
| Sep 30, 2020 | 1.95 Mn |
| Jun 30, 2020 | 1.75 Mn |
| Mar 31, 2020 | 1.47 Mn |
| Dec 31, 2019 | 10.36 Mn |
| Jun 30, 2019 | 7.62 Mn |
| Mar 31, 2019 | 3.60 Mn |
| Dec 31, 2018 | 3.01 Mn |
| Sep 30, 2018 | 3.11 Mn |
| Jun 30, 2018 | 3.21 Mn |
| Mar 31, 2018 | 1.08 Mn |
| Dec 31, 2017 | 2.69 Mn |
Azio Ai Holdings Total Non-Current 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=total-non-current-liabilities&ticker=AZIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "AZIO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=AZIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();