AirJoule Technologies (AIRJ) Accumulated Expenses (2021 - 2024)
AirJoule Technologies' Accumulated Expenses came in at $6.72 million for Q1 2024, up 289.5% from $1.72 million a year earlier.
Analysis
AirJoule Technologies (AIRJ) Accumulated Expenses (2021 - 2024) Analysis & Trends
At the end of FY2023, AirJoule Technologies' Accumulated Expenses was $244,440, down 63.0% from FY2022.
- Going back by year, Accumulated Expenses was $660,491 in FY2022 (+60.9%) and $410,377 in FY2021.
- The Q1 2024 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2021.
- Year-over-year, Accumulated Expenses increased in five of the last six quarters, with growth averaging 296.8%.
- Business Quant data shows AIRJ's Accumulated Expenses at $244,440 (Q4 2023), $5.19 million (Q3 2023) and $4.05 million (Q2 2023) in the three quarters before Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Ecolab | 76.01 Bn | 67.78 Bn | 1.95 Bn |
| 2 | Xylem | 23.56 Bn | 19.05 Bn | 963.00 Mn |
| 3 | Veralto | 23.10 Bn | 15.75 Bn | 902.00 Mn |
| 4 | Badger Meter | 3.72 Bn | 2.99 Bn | 90.77 Mn |
| 5 | Ceco Environmental | 3.11 Bn | 2.95 Bn | 86.47 Mn |
| 6 | NWPX Infrastructure | 1.01 Bn | 971.46 Mn | 34.36 Mn |
| 7 | Energy Recovery | 342.87 Mn | 18.03 Mn | 8.96 Mn |
| 8 | Cadiz | 311.40 Mn | 279.84 Mn | -24,000.00 |
| 9 | AirJoule Technologies | 290.46 Mn | 170.08 Mn | - |
| 10 | LanzaTech Global | 72.38 Mn | -42.75 Mn | 1.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 6.72 Mn |
| Dec 31, 2023 | 244,440.00 |
| Sep 30, 2023 | 5.19 Mn |
| Jun 30, 2023 | 4.05 Mn |
| Mar 31, 2023 | 1.72 Mn |
| Dec 31, 2022 | 660,491.00 |
| Sep 30, 2022 | 623,256.00 |
| Jun 30, 2022 | 603,071.00 |
| Mar 31, 2022 | 594,409.00 |
| Dec 31, 2021 | 410,377.00 |
API Access
AirJoule Technologies 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=AIRJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "AIRJ", "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=AIRJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();