AirJoule Technologies (AIRJ) Price to Earnings (2022 - 2025)
AirJoule Technologies' (AIRJ) Price to Earnings came in at 7.34 for Q2 2025, up 161.8% from 2.81 a year earlier and up 29.6% from the prior quarter.
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Analysis
AirJoule Technologies (AIRJ) Price to Earnings (2022 - 2025) Analysis & Trends
For FY2024, AirJoule Technologies' Price to Earnings stood at 2.07.
- In prior years, AirJoule Technologies' Price to Earnings was 177.22 in FY2022.
- The Q2 2025 figure stands as the highest quarterly Price to Earnings since Q1 2023.
- According to Business Quant data, Price to Earnings for the three prior quarters was 5.66 (Q1 2025), 2.07 (Q4 2024) and 1.43 (Q3 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Ecolab | 86.73 Bn | 79.74 Bn | 2.07 Bn |
| 2 | Veralto | 28.77 Bn | 21.41 Bn | 908.00 Mn |
| 3 | Xylem | 21.59 Bn | 17.56 Bn | 907.00 Mn |
| 4 | Badger Meter | 4.42 Bn | 3.83 Bn | 98.85 Mn |
| 5 | Ceco Environmental | 3.20 Bn | 2.99 Bn | 130.10 Mn |
| 6 | NWPX Infrastructure | 866.95 Mn | 825.03 Mn | 38.19 Mn |
| 7 | Energy Recovery | 370.21 Mn | 32.65 Mn | 4.20 Mn |
| 8 | Cadiz | 265.95 Mn | 231.07 Mn | -24,000.00 |
| 9 | AirJoule Technologies | 157.70 Mn | 37.32 Mn | - |
| 10 | LanzaTech Global | 50.39 Mn | -47.24 Mn | 1.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 7.34 |
| Mar 31, 2025 | 5.66 |
| Dec 31, 2024 | 2.07 |
| Sep 30, 2024 | 1.43 |
| Jun 30, 2024 | 2.81 |
| Mar 31, 2024 | 3.24 |
| Mar 31, 2023 | 225.53 |
| Dec 31, 2022 | 177.22 |
API Access
AirJoule Technologies Price to Earnings 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=price-to-earnings&ticker=AIRJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=AIRJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();