Tetra Technologies (TTI) Research & Development (2022 - 2023)
Tetra Technologies (TTI) posted Research & Development of $5.28 million for Q4 2023, up 68.5% from $3.14 million a year earlier and up 39.0% from the prior quarter.
Tetra Technologies (TTI) Research & Development (2022 - 2023) Analysis & Trends
For FY2023, Tetra Technologies' Research & Development came in at $12.12 million, up 82.7% from FY2022.
- In prior years, Tetra Technologies' Research & Development was $6.64 million in FY2022.
- The Q4 2023 figure stands as the highest quarterly Research & Development in data going back to Q1 2022.
- On a year-over-year basis, Research & Development has increased in each of the last three quarters, with growth averaging 145.3% over the last four quarters.
- According to Business Quant data, Research & Development for the three prior quarters was $3.8 million (Q3 2023), $2.34 million (Q2 2023) and $720,000 (Q1 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn | 171.00 Mn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn | 143.00 Mn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn | 25.70 Mn |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn | - |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn | - |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn | - |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn | 20.00 Mn |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn | - |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn | - |
| 10 | Tetra Technologies | 875.11 Mn | 533.60 Mn | 45.71 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 5.28 Mn |
| Sep 30, 2023 | 3.80 Mn |
| Jun 30, 2023 | 2.34 Mn |
| Mar 31, 2023 | 720,000.00 |
| Dec 31, 2022 | 3.14 Mn |
| Sep 30, 2022 | 936,000.00 |
| Jun 30, 2022 | 634,000.00 |
| Mar 31, 2022 | 1.93 Mn |
Tetra Technologies Research & Development 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=research-and-development&ticker=TTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "TTI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=research-and-development&ticker=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();