KLX Energy Services Holdings (KLXE) Price to Book (2018 - 2024)
KLX Energy Services Holdings' Price to Book came in at 36.89 for Q3 2024, up 806.9% from 4.07 a year earlier and up 333.1% from the prior quarter.
Analysis
KLX Energy Services Holdings (KLXE) Price to Book (2018 - 2024) Analysis & Trends
For FY2023, KLX Energy Services Holdings' Price to Book was 4.85.
- Going back by year, Price to Book was 1.70 in FY2020 and 1.77 in FY2019.
- The Q3 2024 figure represents the highest quarterly Price to Book in data going back to Q4 2020.
- Year-over-year, Price to Book has increased for three consecutive quarters.
- Business Quant data shows KLXE's Price to Book at 8.52 (Q2 2024), 7.72 (Q1 2024) and 4.85 (Q4 2023) in the three quarters before Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn |
| 10 | KLX Energy Services Holdings | 30.85 Mn | 3.35 Mn | 36.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 36.89 |
| Jun 30, 2024 | 8.52 |
| Mar 31, 2024 | 7.72 |
| Dec 31, 2023 | 4.85 |
| Sep 30, 2023 | 4.07 |
| Jun 30, 2023 | 4.02 |
| Mar 31, 2023 | 6.95 |
| Jan 31, 2021 | 1.70 |
| Oct 31, 2020 | 0.53 |
| Jul 31, 2020 | 0.50 |
| Apr 30, 2020 | 0.47 |
| Jan 31, 2020 | 0.32 |
| Oct 31, 2019 | 0.58 |
| Jul 31, 2019 | 0.94 |
| Apr 30, 2019 | 1.68 |
| Jan 31, 2019 | 1.77 |
| Oct 31, 2018 | 1.97 |
API Access
KLX Energy Services Holdings Price to Book 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=price-to-book&ticker=KLXE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "KLXE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=KLXE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();