WaterBridge Infrastructure (WBI) Operating Expenses (2024 - 2026)
WaterBridge Infrastructure's Operating Expenses came in at $17.68 million for Q2 2026, up 133.2% from $7.58 million a year earlier and up 5.2% from the prior quarter.
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Analysis
WaterBridge Infrastructure (WBI) Operating Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, WaterBridge Infrastructure reported Operating Expenses of $131.65 million, up 56.8% year-over-year; for FY2025, it came in at $150.64 million, up 44.6% from FY2024.
- Going back by year, Operating Expenses was $104.19 million in FY2024 (+72.2%) and $60.49 million in FY2023.
- The five-year range for quarterly Operating Expenses is $6.59 million (Q1 2025) to $76.66 million (Q4 2025).
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with growth averaging 87.9% over the last four quarters.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 103.69 Bn | 99.28 Bn | 4.84 Bn | 19.09 Bn |
| 2 | Williams Companies | 81.92 Bn | 78.95 Bn | 2.59 Bn | 2.09 Bn |
| 3 | Enterprise Products Partners | 79.48 Bn | 77.85 Bn | - | 16.05 Bn |
| 4 | Kinder Morgan | 67.93 Bn | 66.79 Bn | 2.97 Bn | 3.37 Bn |
| 5 | Energy Transfer | 65.72 Bn | 61.55 Bn | 6.57 Bn | 34.32 Bn |
| 6 | Tc Energy | 65.50 Bn | 62.26 Bn | - | 50.00 Mn |
| 7 | Cheniere Energy | 59.29 Bn | 53.44 Bn | 2.97 Bn | 4.26 Bn |
| 8 | Targa Resources | 58.28 Bn | 57.74 Bn | 2.02 Bn | 372.30 Mn |
| 9 | Mplx | 57.71 Bn | 51.74 Bn | 3.19 Bn | 2.13 Bn |
| 10 | WaterBridge Infrastructure | 1.27 Bn | 1.11 Bn | 58.12 Mn | 17.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.68 Mn |
| Mar 31, 2026 | 16.81 Mn |
| Dec 31, 2025 | 76.66 Mn |
| Sep 16, 2025 | 20.50 Mn |
| Jun 30, 2025 | 7.58 Mn |
| Mar 31, 2025 | 6.59 Mn |
| Dec 31, 2024 | 52.19 Mn |
| Sep 30, 2024 | 17.60 Mn |
API Access
WaterBridge Infrastructure Operating 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=operating-expenses&ticker=WBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WBI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=WBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();