Liberty Energy (LBRT) Selling, General & Administrative (2017 - 2026)
Liberty Energy (LBRT) recorded Selling, General & Administrative of $69.48 million in Q3 2026, up 19.2% from $58.28 million a year earlier and up 3.4% from the prior quarter.
Liberty Energy (LBRT) Selling, General & Administrative (2017 - 2026) Analysis & Trends
On a TTM basis, Liberty Energy's Selling, General & Administrative came in at $261.22 million as of Sep 30, 2026, up 9.5% year-over-year; for FY2025, it was $247.44 million, up 9.7% from FY2024.
- Annual Selling, General & Administrative has increased for five straight years, with a five-year compound annual growth rate of 24.1% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $225.47 million in FY2024 (+1.8%), $221.41 million in FY2023 (+23.0%), $180.04 million in FY2022 (+45.9%) and $123.41 million in FY2021 (+46.7%).
- The Q3 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q1 2017.
- On a year-over-year basis, Selling, General & Administrative rose in six of the last eight quarters, with growth averaging 8.4%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 75.8% in Q4 2021, against a decline of 9.5% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $67.17 million (Q2 2026), $59.54 million (Q1 2026) and $65.03 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn | 84.00 Mn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn | 732.00 Mn |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn | 67.00 Mn |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn | 182.70 Mn |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | 27.29 Mn |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | 297.00 Mn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | 182.00 Mn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | 62.00 Mn |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | 25.70 Mn |
| 10 | Liberty Energy | 2.04 Bn | 638.74 Mn | 201.11 Mn | 69.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 69.48 Mn |
| Jun 30, 2026 | 67.17 Mn |
| Mar 31, 2026 | 59.54 Mn |
| Dec 31, 2025 | 65.03 Mn |
| Sep 30, 2025 | 58.28 Mn |
| Jun 30, 2025 | 58.34 Mn |
| Mar 31, 2025 | 65.78 Mn |
| Dec 31, 2024 | 56.17 Mn |
| Sep 30, 2024 | 58.61 Mn |
| Jun 30, 2024 | 57.70 Mn |
| Mar 31, 2024 | 52.99 Mn |
| Dec 31, 2023 | 55.30 Mn |
| Sep 30, 2023 | 55.04 Mn |
| Jun 30, 2023 | 58.03 Mn |
| Mar 31, 2023 | 53.04 Mn |
| Dec 31, 2022 | 49.09 Mn |
| Sep 30, 2022 | 50.47 Mn |
| Jun 30, 2022 | 42.16 Mn |
| Mar 31, 2022 | 38.32 Mn |
| Dec 31, 2021 | 35.36 Mn |
Liberty Energy Selling, General & Administrative 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=selling-general-and-administrative&ticker=LBRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "LBRT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=LBRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();