LanzaTech Global (LNZA) Accumulated Expenses (2021 - 2022)
LanzaTech Global (LNZA) posted Accumulated Expenses of $2.26 million for Q4 2022, up 882.5% from $229,733 a year earlier and up 66.4% from the prior quarter.
Analysis
LanzaTech Global (LNZA) Accumulated Expenses (2021 - 2022) Analysis & Trends
Since Q2 2021, LanzaTech Global has reported Accumulated Expenses for 7 quarters.
- In prior years, LanzaTech Global's Accumulated Expenses was $229,733 in FY2021.
- Quarterly Accumulated Expenses has run from a low of $162,981 in Q2 2021 to a high of $2.56 million in Q1 2022 over five years.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $1.36 million (Q3 2022), $2.5 million (Q2 2022) and $2.56 million (Q1 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Ecolab | 77.03 Bn | 68.81 Bn | 1.95 Bn |
| 2 | Xylem | 23.64 Bn | 19.13 Bn | 963.00 Mn |
| 3 | Veralto | 23.04 Bn | 15.69 Bn | 902.00 Mn |
| 4 | Badger Meter | 3.58 Bn | 2.86 Bn | 90.77 Mn |
| 5 | Ceco Environmental | 3.02 Bn | 2.85 Bn | 86.47 Mn |
| 6 | NWPX Infrastructure | 993.21 Mn | 954.68 Mn | 34.36 Mn |
| 7 | Energy Recovery | 341.34 Mn | 16.50 Mn | 8.96 Mn |
| 8 | Cadiz | 329.91 Mn | 298.36 Mn | -24,000.00 |
| 9 | AirJoule Technologies | 286.05 Mn | 165.68 Mn | - |
| 10 | LanzaTech Global | 74.74 Mn | -40.40 Mn | 1.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 2.26 Mn |
| Sep 30, 2022 | 1.36 Mn |
| Jun 30, 2022 | 2.50 Mn |
| Mar 31, 2022 | 2.56 Mn |
| Dec 31, 2021 | 229,733.00 |
| Sep 30, 2021 | 168,034.00 |
| Jun 30, 2021 | 162,981.00 |
API Access
LanzaTech Global Accumulated 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=accumulated-expenses&ticker=LNZA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=LNZA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();