LanzaTech Global (LNZA) Asset Utilization Ratio (2022 - 2026)
LanzaTech Global's Asset Utilization Ratio came in at 0.26 for Q2 2026, down 21.8% from 0.33 a year earlier.
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Analysis
LanzaTech Global (LNZA) Asset Utilization Ratio (2022 - 2026) Analysis & Trends
For FY2025, LanzaTech Global's Asset Utilization Ratio was 0.41, up 70.5% from FY2024.
- Going back by year, Asset Utilization Ratio was 0.24 in FY2024 (-20.4%), 0.30 in FY2023 (+31.3%) and 0.23 in FY2022.
- The Q2 2026 figure represents the lowest quarterly Asset Utilization Ratio since Q4 2024.
- Year-over-year, Asset Utilization Ratio increased in five of the last seven quarters, with growth averaging 26.7%.
- The fastest year-over-year change in Asset Utilization Ratio over five years came in Q4 2025 (growth of 120.6%), and the weakest in Q2 2026 (a decline of 21.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.88 Bn | 69.66 Bn | 1.95 Bn | 0.61 |
| 2 | Veralto | 23.60 Bn | 16.25 Bn | 902.00 Mn | 0.70 |
| 3 | Xylem | 23.57 Bn | 19.05 Bn | 963.00 Mn | 0.53 |
| 4 | Badger Meter | 3.65 Bn | 2.92 Bn | 90.77 Mn | 0.89 |
| 5 | Ceco Environmental | 3.06 Bn | 2.89 Bn | 86.47 Mn | 0.38 |
| 6 | NWPX Infrastructure | 986.65 Mn | 948.13 Mn | 34.36 Mn | 0.89 |
| 7 | Energy Recovery | 345.43 Mn | 20.59 Mn | 8.96 Mn | 0.59 |
| 8 | Cadiz | 301.30 Mn | 269.74 Mn | -24,000.00 | 0.10 |
| 9 | AirJoule Technologies | 289.72 Mn | 169.35 Mn | - | - |
| 10 | LanzaTech Global | 77.10 Mn | -38.04 Mn | 1.91 Mn | 0.26 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.26 |
| Dec 31, 2025 | 0.56 |
| Sep 30, 2025 | 0.37 |
| Jun 30, 2025 | 0.33 |
| Mar 31, 2025 | 0.32 |
| Dec 31, 2024 | 0.25 |
| Sep 30, 2024 | 0.27 |
| Jun 30, 2024 | 0.32 |
| Mar 31, 2024 | 0.28 |
| Dec 31, 2023 | 0.26 |
| Sep 30, 2023 | 0.21 |
| Jun 30, 2023 | 0.15 |
| Mar 31, 2023 | 0.17 |
| Dec 31, 2022 | 0.23 |
API Access
LanzaTech Global Asset Utilization Ratio 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=asset-utilization-ratio&ticker=LNZA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "ticker": "LNZA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=asset-utilization-ratio&ticker=LNZA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();