LanzaTech Global (LNZA) Return on Sales [ROS] (2022 - 2026)
LanzaTech Global's Return on Sales [ROS] was -109.53% in Q2 2026, up 245.39 percentage points from -354.92% a year earlier but down 27.91 percentage points from the prior quarter.
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Analysis
LanzaTech Global (LNZA) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, LanzaTech Global's Return on Sales [ROS] was -60.96% through Jun 30, 2026, up 243.11 percentage points year-over-year; for FY2025, it came in at -141.74%, up 77.92 percentage points from FY2024.
- Return on Sales [ROS] shows a three-year change of +60.70 percentage points (FY2022 to FY2025).
- In earlier years, Return on Sales [ROS] was -219.66% in FY2024 (-49.81 pp), -169.85% in FY2023 (+32.59 pp) and -202.44% in FY2022.
- Quarterly Return on Sales [ROS] has moved between -354.92% (Q2 2025) and -0.73% (Q4 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for four straight quarters, with an average year-over-year change of +30.31 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2026 (a gain of 245.84 percentage points); the worst was Q2 2025 (a drop of 223.69 percentage points).
- Per Business Quant data, LNZA's Return on Sales [ROS] in the three quarters before Q2 2026 was -81.62% (Q1 2026), -0.73% (Q4 2025) and -168.74% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 86.73 Bn | 79.74 Bn | 2.07 Bn | 17.26% |
| 2 | Veralto | 28.77 Bn | 21.41 Bn | 908.00 Mn | 19.75% |
| 3 | Xylem | 21.59 Bn | 17.56 Bn | 907.00 Mn | 17.49% |
| 4 | Badger Meter | 4.42 Bn | 3.83 Bn | 98.85 Mn | 20.23% |
| 5 | Ceco Environmental | 3.20 Bn | 2.99 Bn | 130.10 Mn | 2.60% |
| 6 | NWPX Infrastructure | 866.95 Mn | 825.03 Mn | 38.19 Mn | 13.55% |
| 7 | Energy Recovery | 370.21 Mn | 32.65 Mn | 4.20 Mn | -87.49% |
| 8 | Cadiz | 265.95 Mn | 231.07 Mn | -24,000.00 | -902.45% |
| 9 | AirJoule Technologies | 157.70 Mn | 37.32 Mn | - | - |
| 10 | LanzaTech Global | 50.39 Mn | -47.24 Mn | 1.91 Mn | -109.53% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -109.53% |
| Mar 31, 2026 | -81.62% |
| Dec 31, 2025 | -0.73% |
| Sep 30, 2025 | -168.74% |
| Jun 30, 2025 | -354.92% |
| Mar 31, 2025 | -327.46% |
| Dec 31, 2024 | -224.61% |
| Sep 30, 2024 | -331.46% |
| Jun 30, 2024 | -131.23% |
| Mar 31, 2024 | -255.31% |
| Dec 31, 2023 | -91.12% |
| Sep 30, 2023 | -125.45% |
| Jun 30, 2023 | -237.04% |
| Mar 31, 2023 | -337.16% |
| Dec 31, 2022 | -167.58% |
| Sep 30, 2022 | -255.60% |
| Jun 30, 2022 | -194.08% |
| Mar 31, 2022 | -209.62% |
API Access
LanzaTech Global Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=LNZA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=LNZA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();