Drilling Tools International (DTI) Operating Expenses (2022 - 2026)
Drilling Tools International (DTI) recorded Operating Expenses of $39.94 million in Q2 2026, down 2.8% from $41.08 million a year earlier and down 0.3% from the prior quarter.
Drilling Tools International (DTI) Operating Expenses (2022 - 2026) Analysis & Trends
On a TTM basis, Drilling Tools International's Operating Expenses came in at $156.69 million as of Jun 30, 2026, down 6.2% year-over-year; for FY2025, it came in at $162.48 million, up 7.3% from FY2024.
- Annual Operating Expenses has increased for three straight years, with a four-year compound annual growth rate of 403.8% (FY2021 to FY2025).
- Across earlier years, Operating Expenses came in at $151.46 million in FY2024 (+22.0%), $124.14 million in FY2023 (+19.0%), $104.28 million in FY2022 and $252,254 in FY2021.
- Quarterly Operating Expenses has ranged from $289,327 in Q1 2022 to $44.71 million in Q1 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for four consecutive quarters, with growth averaging 11.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 40.4% in Q1 2025, against a decline of 10.4% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $40.05 million (Q1 2026), $37.41 million (Q4 2025) and $39.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 75.92 Bn | 71.85 Bn | 1.40 Bn | 324.00 Mn |
| 2 | Baker Hughes | 55.70 Bn | 18.80 Bn | 1.58 Bn | 723.00 Mn |
| 3 | Halliburton | 28.02 Bn | 19.74 Bn | 804.00 Mn | 4.94 Bn |
| 4 | TechnipFMC | 27.69 Bn | 23.83 Bn | 684.70 Mn | 2.28 Bn |
| 5 | Nov | 6.91 Bn | 1.65 Bn | 521.00 Mn | 1.04 Bn |
| 6 | Noble | 6.91 Bn | 4.84 Bn | 239.27 Mn | 689.21 Mn |
| 7 | Transocean | 6.62 Bn | 4.33 Bn | 358.00 Mn | 812.00 Mn |
| 8 | Valaris | 6.22 Bn | 3.84 Bn | 123.70 Mn | 498.70 Mn |
| 9 | Weatherford International | 6.03 Bn | 1.97 Bn | 333.00 Mn | 998.00 Mn |
| 10 | Drilling Tools International | 64.91 Mn | 51.53 Mn | 24.94 Mn | 39.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.94 Mn |
| Mar 31, 2026 | 40.05 Mn |
| Dec 31, 2025 | 37.41 Mn |
| Sep 30, 2025 | 39.28 Mn |
| Jun 30, 2025 | 41.08 Mn |
| Mar 31, 2025 | 44.71 Mn |
| Dec 31, 2024 | 41.64 Mn |
| Sep 30, 2024 | 39.67 Mn |
| Jun 30, 2024 | 37.25 Mn |
| Mar 31, 2024 | 31.84 Mn |
| Dec 31, 2023 | 30.66 Mn |
| Sep 30, 2023 | 31.01 Mn |
| Jun 30, 2023 | 31.28 Mn |
| Mar 31, 2023 | 32.88 Mn |
| Dec 31, 2022 | 28.71 Mn |
| Sep 30, 2022 | 28.47 Mn |
| Jun 30, 2022 | 22.32 Mn |
| Mar 31, 2022 | 289,327.00 |
Drilling Tools International 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=DTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();