CO2 Energy Transition (NOEM) Accumulated Expenses (2023 - 2026)
CO2 Energy Transition (NOEM) reported Accumulated Expenses of $129,923 for Q2 2026, up 12.3% from $115,716 a year earlier and up 84.6% from the prior quarter.
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Analysis
CO2 Energy Transition (NOEM) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, CO2 Energy Transition posted Accumulated Expenses of $142,278, down 52.2% from FY2024.
- By year, Accumulated Expenses came in at $297,787 in FY2024 (+103.6%) and $146,253 in FY2023.
- Five-year quarterly Accumulated Expenses spans a low of $70,381 in Q1 2026 and a high of $297,787 in Q4 2024.
- Year over year, Accumulated Expenses gained in two of the last five quarters, with an average decline of 1.4%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $70,381 (Q1 2026), $142,278 (Q4 2025) and $97,810 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - |
| 10 | CO2 Energy Transition | 100.55 Mn | 99.89 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 129,923.00 |
| Mar 31, 2026 | 70,381.00 |
| Dec 31, 2025 | 142,278.00 |
| Sep 30, 2025 | 97,810.00 |
| Jun 30, 2025 | 115,716.00 |
| Mar 31, 2025 | 167,620.00 |
| Dec 31, 2024 | 297,787.00 |
| Sep 30, 2024 | 112,243.00 |
| Dec 31, 2023 | 146,253.00 |
API Access
CO2 Energy Transition 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=NOEM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "NOEM", "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=NOEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();