Cardinal Infrastructure (CDNL) Operating Expenses (2025 - 2026)
Cardinal Infrastructure's Operating Expenses was $15.79 million in Q2 2026, up 74.1% from $9.07 million a year earlier but down 0.3% from the prior quarter.
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Analysis
Cardinal Infrastructure (CDNL) Operating Expenses (2025 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cardinal Infrastructure's Operating Expenses was $47.91 million through Jun 30, 2026; for FY2025, it came in at $48.77 million, up 66.2% from FY2024.
- In earlier years, Operating Expenses was $29.35 million in FY2024 (+49.1%) and $19.68 million in FY2023.
- Quarterly Operating Expenses has moved between $7.2 million (Q1 2025) and $15.84 million (Q1 2026) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 90.10 Bn | 88.18 Bn | 1.55 Bn | 698.49 Mn |
| 2 | Ferrovial | 35.48 Bn | 13.73 Bn | - | - |
| 3 | Emcor | 31.19 Bn | 27.58 Bn | 1.02 Bn | 475.04 Mn |
| 4 | Jacobs Solutions | 16.40 Bn | 11.07 Bn | 810.70 Mn | 524.00 Mn |
| 5 | Mastec | 14.71 Bn | 13.49 Bn | 556.28 Mn | 292.57 Mn |
| 6 | Sterling Infrastructure | 12.75 Bn | 11.08 Bn | 289.96 Mn | 65.66 Mn |
| 7 | IES Holdings | 9.69 Bn | 8.55 Bn | 340.66 Mn | 162.17 Mn |
| 8 | Stantec | 7.82 Bn | 6.75 Bn | 1.36 Bn | 972.05 Mn |
| 9 | Aecom | 7.57 Bn | 2.69 Bn | -34.04 Mn | 46.45 Mn |
| 10 | Cardinal Infrastructure | 232.72 Mn | -266.68 Mn | 36.05 Mn | 15.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.79 Mn |
| Mar 31, 2026 | 15.84 Mn |
| Jun 30, 2025 | 9.07 Mn |
| Mar 31, 2025 | 7.20 Mn |
API Access
Cardinal 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=CDNL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CDNL", "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=CDNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();