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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Ecolab | 81.65 Bn | 73.39 Bn | 1.95 Bn |
| 2 | Xylem | 25.59 Bn | 20.84 Bn | 963.00 Mn |
| 3 | Veralto | 25.52 Bn | 18.16 Bn | 902.00 Mn |
| 4 | Badger Meter | 4.23 Bn | 3.50 Bn | 90.77 Mn |
| 5 | Ceco Environmental | 2.20 Bn | 2.03 Bn | 86.47 Mn |
| 6 | NWPX Infrastructure | 928.09 Mn | 889.57 Mn | 34.36 Mn |
| 7 | Cadiz | 344.16 Mn | 312.61 Mn | -24,000.00 |
| 8 | Energy Recovery | 343.26 Mn | 18.43 Mn | 8.96 Mn |
| 9 | AirJoule Technologies | 206.76 Mn | 86.39 Mn | - |
| 10 | LanzaTech Global | 56.44 Mn | -58.70 Mn | 1.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.05 Mn |
| Mar 31, 2026 | 1.96 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 | 3.41 Mn |
| Mar 31, 2023 | 60,000.00 |
| Dec 31, 2022 | -1.49 Mn |
| Sep 30, 2022 | 1.32 Mn |
| Jun 30, 2022 | 444,885.00 |
| Mar 31, 2022 | 60,000.00 |
API Access
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_KEYimport 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();