AirJoule Technologies (AIRJ) Other Operating Expenses (2022 - 2026)
AirJoule Technologies' Other Operating Expenses came in at $1.05 million for Q2 2026, down 46.5% from the prior quarter.
AirJoule Technologies (AIRJ) Other Operating Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, AirJoule Technologies reported Other Operating Expenses of $7.91 million; for FY2025, it came in at $17.9 million, up 711.0% from FY2024.
- Other Operating Expenses carries a four-year compound annual growth rate of 447.0% (FY2021 to FY2025).
- Going back by year, Other Operating Expenses was $2.21 million in FY2024, $60,000 in FY2023 (-75.0%), $240,000 in FY2022 and $20,000 in FY2021.
- The Q2 2026 figure represents the lowest quarterly Other Operating Expenses since Q1 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Ecolab | 77.03 Bn | 68.81 Bn | 1.95 Bn |
| 2 | Xylem | 23.64 Bn | 19.13 Bn | 963.00 Mn |
| 3 | Veralto | 23.04 Bn | 15.69 Bn | 902.00 Mn |
| 4 | Badger Meter | 3.58 Bn | 2.86 Bn | 90.77 Mn |
| 5 | Ceco Environmental | 3.02 Bn | 2.85 Bn | 86.47 Mn |
| 6 | NWPX Infrastructure | 993.21 Mn | 954.68 Mn | 34.36 Mn |
| 7 | Energy Recovery | 341.34 Mn | 16.50 Mn | 8.96 Mn |
| 8 | Cadiz | 329.91 Mn | 298.36 Mn | -24,000.00 |
| 9 | AirJoule Technologies | 286.05 Mn | 165.68 Mn | - |
| 10 | LanzaTech Global | 74.74 Mn | -40.40 Mn | 1.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.05 Mn |
| Mar 31, 2026 | 1.96 Mn |
| Dec 31, 2025 | 4.91 Mn |
| Jun 30, 2024 | 2.21 Mn |
| Mar 31, 2024 | 15,000.00 |
| Dec 31, 2023 | -7.87 Mn |
| Sep 30, 2023 | 1.45 Mn |
| Jun 30, 2023 | 3.35 Mn |
| Mar 31, 2023 | 60,000.00 |
| Dec 31, 2022 | -1.49 Mn |
| Sep 30, 2022 | 1.32 Mn |
| Jun 30, 2022 | 384,885.00 |
| Mar 31, 2022 | 60,000.00 |
AirJoule Technologies Other Operating 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=other-operating-expenses&ticker=AIRJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=AIRJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();