TIC Solutions (TIC) Operating Expenses (2024 - 2026)
TIC Solutions (TIC) reported Operating Expenses of $193.32 million for Q2 2026, up 243.6% from $56.27 million a year earlier and up 12.2% from the prior quarter.
TIC Solutions (TIC) Operating Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, TIC Solutions' Operating Expenses came in at $723.17 million, up 139.7% year-over-year; for FY2025, it was $466.46 million, up 150.4% from FY2024.
- By year, Operating Expenses came in at $186.3 million in FY2024 (+0.7%) and $185.02 million in FY2023.
- Five-year quarterly Operating Expenses spans a low of $56.12 million in Q1 2025 and a high of $198.36 million in Q4 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at $172.25 million (Q1 2026), $198.36 million (Q4 2025) and $159.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | TIC Solutions | 1.91 Bn | 521.00 Mn | 204.16 Mn | 193.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 193.32 Mn |
| Mar 31, 2026 | 172.25 Mn |
| Dec 31, 2025 | 198.36 Mn |
| Sep 30, 2025 | 159.24 Mn |
| Jun 30, 2025 | 56.27 Mn |
| Mar 31, 2025 | 56.12 Mn |
| Sep 30, 2024 | 128.39 Mn |
| Jun 30, 2024 | 60.87 Mn |
| Mar 31, 2024 | 41.85 Mn |
TIC Solutions 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=TIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TIC", "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=TIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();