AirJoule Technologies Corp. (AIRJW) Operating Expenses (2022 - 2026)
AirJoule Technologies (AIRJW) posted Operating Expenses of $5.04 million for Q2 2026, up 21.0% from $4.16 million a year earlier but down 8.7% from the prior quarter.
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Analysis
AirJoule Technologies Corp. (AIRJW) Operating Expenses (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at AirJoule Technologies was $19.51 million, down 1.2% year-over-year; for FY2025, it was $17.9 million, up 64.8% from FY2024.
- Annual Operating Expenses shows a four-year compound annual growth rate of 163.2% (FY2021 to FY2025).
- In prior years, AirJoule Technologies' Operating Expenses was $10.86 million in FY2024 (+0.1%), $10.85 million in FY2023, $887,745 in FY2022 (+138.0%) and $372,924 in FY2021.
- Quarterly Operating Expenses has run from a low of $64,853 in Q1 2024 to a high of $6.06 million in Q3 2024 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 48.5% over the last seven quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2025, with growth of 220.7%; the weakest was Q1 2024, with a decline of 92.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $5.52 million (Q1 2026), $4.91 million (Q4 2025) and $4.05 million (Q3 2025).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.04 Mn |
| Mar 31, 2026 | 5.52 Mn |
| Dec 31, 2025 | 4.91 Mn |
| Sep 30, 2025 | 4.05 Mn |
| Jun 30, 2025 | 4.16 Mn |
| Mar 31, 2025 | 4.78 Mn |
| Dec 31, 2024 | 2.79 Mn |
| Sep 30, 2024 | 4.76 Mn |
| Jun 30, 2024 | 1.30 Mn |
| Mar 31, 2024 | 1.66 Mn |
| Dec 31, 2023 | 2.73 Mn |
| Sep 30, 2023 | 4.39 Mn |
| Jun 30, 2023 | 2.91 Mn |
| Mar 31, 2023 | 823,119.00 |
| Dec 31, 2022 | 194,396.00 |
| Sep 30, 2022 | 161,483.00 |
| Jun 30, 2022 | 188,470.00 |
| Mar 31, 2022 | 343,396.00 |
API Access
AirJoule Technologies Corp. 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=operating-expenses&ticker=AIRJW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AIRJW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=AIRJW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();