Enbridge (EBGEF) Accumulated Expenses (2011 - 2026)
Enbridge's (EBGEF) quarterly Accumulated Expenses came in at $7.3 billion in Q2 2026, up 75.85% year-over-year from $4.2 billion in Q2 2025, and up 2.39% quarter-over-quarter from $7.2 billion in Q1 2026.
Enbridge (EBGEF) Accumulated Expenses (2011 - 2026) Analysis & Trends
Enbridge (EBGEF) has reported Accumulated Expenses for 16 consecutive years, with $7.3 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 75.85% year-over-year to $7.3 billion in Q2 2026; TTM through Jun 2026 was $7.3 billion, a 75.85% increase from a year earlier, with the FY2025 full-year figure at $5.4 billion, up 4.86% from the prior year.
- Accumulated Expenses was $7.3 billion for Q2 2026 at Enbridge, up from $7.2 billion in the prior quarter.
- Over five years, Accumulated Expenses peaked at $7.3 billion in Q2 2026 and troughed at $2.7 billion in Q2 2023.
- A 5-year average of $4.8 billion and a median of $4.6 billion in 2022 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses tumbled 57.67% in 2023 and soared 75.85% in 2026, its largest moves.
- Over 5 years, Accumulated Expenses stood at $4.5 billion in 2022, then slumped by 30.41% to $3.2 billion in 2023, then soared by 59.71% to $5.1 billion in 2024, then rose by 7.2% to $5.4 billion in 2025, then surged by 35.22% to $7.3 billion in 2026.
- The last three Accumulated Expenses figures came in at $7.3 billion (Q2 2026), $7.2 billion (Q1 2026), and $5.4 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Kinder Morgan | 110.71 Bn | 111.84 Bn | 3.07 Bn |
| 2 | Enterprise Products Partners | 82.12 Bn | 81.26 Bn | - |
| 3 | Energy Transfer | 70.45 Bn | 69.42 Bn | 7.40 Bn |
| 4 | Tc Energy | 62.27 Bn | 61.74 Bn | 1.80 Bn |
| 5 | Targa Resources | 60.51 Bn | 60.52 Bn | 2.14 Bn |
| 6 | Mplx | 59.97 Bn | 58.94 Bn | 2.73 Bn |
| 7 | Oneok | 56.80 Bn | 56.74 Bn | 2.81 Bn |
| 8 | Cheniere Energy | 56.38 Bn | 60.43 Bn | 5.29 Bn |
| 9 | Enbridge | 54.60 Bn | 55.10 Bn | 5.23 Bn |
| 10 | Venture Global | 32.13 Bn | 32.42 Bn | 2.92 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.33 Bn |
| Mar 31, 2026 | 7.15 Bn |
| Dec 31, 2025 | 5.42 Bn |
| Sep 30, 2025 | 4.73 Bn |
| Jun 30, 2025 | 4.17 Bn |
| Mar 31, 2025 | 4.61 Bn |
| Dec 31, 2024 | 5.05 Bn |
| Sep 30, 2024 | 4.42 Bn |
| Jun 30, 2024 | 3.34 Bn |
| Mar 31, 2024 | 2.83 Bn |
| Dec 31, 2023 | 3.16 Bn |
| Sep 30, 2023 | 3.26 Bn |
| Jun 30, 2023 | 2.72 Bn |
| Mar 31, 2023 | 3.03 Bn |
| Dec 31, 2022 | 4.55 Bn |
| Sep 30, 2022 | 6.80 Bn |
| Jun 30, 2022 | 6.44 Bn |
| Mar 31, 2022 | 6.72 Bn |
| Dec 31, 2021 | 7.75 Bn |
| Sep 30, 2021 | 6.95 Bn |
Enbridge 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=EBGEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "EBGEF", "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=EBGEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();