Drilling Tools International (DTI) EV to EBITDA (2023 - 2025)
Drilling Tools International's EV to EBITDA was 23.14 in Q3 2025, up 662.1% from 3.04 a year earlier and up 358.1% from the prior quarter.
Drilling Tools International (DTI) EV to EBITDA (2023 - 2025) Analysis & Trends
On a trailing twelve-month basis, Drilling Tools International's EV to EBITDA was 20.13 through Sep 30, 2025, up 794.9% year-over-year; for FY2024, it came in at 2.88, up 125.4% from FY2023.
- In earlier years, EV to EBITDA was 1.28 in FY2023 (-78.8%) and 6.03 in FY2022.
- The Q3 2025 figure marks the highest quarterly EV to EBITDA in data going back to Q1 2023.
- Compared with a year earlier, EV to EBITDA has increased for six straight quarters, with growth averaging 155.0% over the last seven quarters.
- Per Business Quant data, DTI's EV to EBITDA in the three quarters before Q3 2025 was 5.05 (Q2 2025), 2.22 (Q1 2025) and 2.88 (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 74.03 Bn | 71.14 Bn | 1.40 Bn |
| 2 | Baker Hughes | 55.51 Bn | 18.79 Bn | 1.58 Bn |
| 3 | TechnipFMC | 27.04 Bn | 23.19 Bn | 684.70 Mn |
| 4 | Halliburton | 26.27 Bn | 18.03 Bn | 804.00 Mn |
| 5 | Nov | 6.79 Bn | 1.58 Bn | 521.00 Mn |
| 6 | Noble | 6.70 Bn | 4.63 Bn | 239.27 Mn |
| 7 | Transocean | 5.82 Bn | 3.53 Bn | 358.00 Mn |
| 8 | Weatherford International | 5.77 Bn | 1.71 Bn | 333.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.05 Bn | 123.70 Mn |
| 10 | Drilling Tools International | 81.15 Mn | 67.78 Mn | 24.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 23.14 |
| Jun 30, 2025 | 5.05 |
| Mar 31, 2025 | 2.22 |
| Dec 31, 2024 | 2.88 |
| Sep 30, 2024 | 3.04 |
| Jun 30, 2024 | 3.92 |
| Mar 31, 2024 | 1.68 |
| Dec 31, 2023 | 1.32 |
| Sep 30, 2023 | 2.24 |
| Jun 30, 2023 | 1.04 |
| Mar 31, 2023 | 5.43 |
Drilling Tools International EV to EBITDA 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=ev-to-ebitda&ticker=DTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "DTI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=DTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();