Aetherion Technologies (AETR) Notes Payables (2009 - 2024)
Aetherion Technologies (AETR) recorded Short-Term Borrowings of $15.16 million in the quarter ended Sep 30, 2024, up 138.8% from $6.35 million a year earlier and up 352.3% from the prior quarter.
Aetherion Technologies (AETR) Notes Payables (2009 - 2024) Analysis & Trends
Starting with the quarter ended Sep 30, 2010, Aetherion Technologies' Short-Term Borrowings history includes 27 quarters.
- Annual Short-Term Borrowings has a four-year compound annual growth rate of 43.0% (years ended Dec 2019 to Dec 2023).
- Across earlier years, Short-Term Borrowings came in at $9.1 million in the year ended Dec 31, 2022 (-33.3%), $13.65 million in the year ended Dec 31, 2021 (-41.8%), $23.45 million in the year ended Dec 31, 2020 (+546.8%) and $3.63 million in the year ended Dec 31, 2019.
- Quarterly Short-Term Borrowings has ranged from $3.35 million in the quarter ended Jun 30, 2024 to $23.45 million in the quarter ended Dec 31, 2020 over the past five years.
- On a year-over-year basis, Short-Term Borrowings rose in four of the last eight quarters, with growth averaging 19.1%.
- Peak year-over-year performance for Short-Term Borrowings in the last five years was growth of 546.8% in the quarter ended Dec 31, 2020, against a decline of 41.8% in the quarter ended Dec 31, 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.35 million (quarter ended Jun 30, 2024), $15.16 million (quarter ended Mar 31, 2024) and $15.16 million (quarter ended Dec 31, 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn |
| 10 | Aetherion Technologies | 31.74 Mn | -205.36 Mn | 133,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 15.16 Mn |
| Jun 30, 2024 | 3.35 Mn |
| Mar 31, 2024 | 15.16 Mn |
| Dec 31, 2023 | 15.16 Mn |
| Sep 30, 2023 | 6.35 Mn |
| Jun 30, 2023 | 5.22 Mn |
| Mar 31, 2023 | 9.13 Mn |
| Dec 31, 2022 | 9.10 Mn |
| Sep 30, 2022 | 8.70 Mn |
| Jun 30, 2022 | 8.61 Mn |
| Mar 31, 2022 | 7.81 Mn |
| Dec 31, 2021 | 13.65 Mn |
| Sep 30, 2021 | 11.03 Mn |
| Jun 30, 2021 | 12.23 Mn |
| Mar 31, 2021 | 7.89 Mn |
| Dec 31, 2020 | 23.45 Mn |
| Sep 30, 2020 | 11.34 Mn |
| Dec 31, 2019 | 3.63 Mn |
| Mar 31, 2016 | 35,000.00 |
| Dec 31, 2015 | 9,000.00 |
Aetherion Technologies Notes Payables 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=notes-payables&ticker=AETR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "ticker": "AETR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=notes-payables&ticker=AETR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();