ProFrac Holding (ACDC) Operating Expenses (2021 - 2026)
ProFrac Holding's Operating Expenses was $536 million in Q2 2026, down 4.3% from $559.9 million a year earlier but up 8.1% from the prior quarter.
ProFrac Holding (ACDC) Operating Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, ProFrac Holding's Operating Expenses was $2.06 billion through Jun 30, 2026, down 7.6% year-over-year; for FY2025, it came in at $2.17 billion, down 3.7% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 27.5% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $2.25 billion in FY2024 (-8.6%), $2.46 billion in FY2023 (+22.4%), $2.01 billion in FY2022 (+156.0%) and $786.4 million in FY2021 (+22.4%).
- Quarterly Operating Expenses has moved between $202.85 million (Q3 2021) and $750.8 million (Q1 2023) over five years.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with an average decline of 3.4%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2022 (growth of 183.2%); the worst was Q1 2024 (a decline of 27.9%).
- Per Business Quant data, ACDC's Operating Expenses in the three quarters before Q2 2026 was $496 million (Q1 2026), $541.5 million (Q4 2025) and $481.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn | 324.00 Mn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn | 723.00 Mn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn | 2.28 Bn |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn | 4.94 Bn |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn | 1.04 Bn |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn | 689.21 Mn |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn | 998.00 Mn |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn | 812.00 Mn |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn | 498.70 Mn |
| 10 | ProFrac Holding | 817.73 Mn | 787.63 Mn | 110.00 Mn | 536.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 536.00 Mn |
| Mar 31, 2026 | 496.00 Mn |
| Dec 31, 2025 | 541.50 Mn |
| Sep 30, 2025 | 481.90 Mn |
| Jun 30, 2025 | 559.90 Mn |
| Mar 31, 2025 | 584.30 Mn |
| Dec 31, 2024 | 501.50 Mn |
| Sep 30, 2024 | 579.60 Mn |
| Jun 30, 2024 | 628.60 Mn |
| Mar 31, 2024 | 541.60 Mn |
| Dec 31, 2023 | 503.40 Mn |
| Sep 30, 2023 | 553.70 Mn |
| Jun 30, 2023 | 655.50 Mn |
| Mar 31, 2023 | 750.80 Mn |
| Dec 31, 2022 | 668.90 Mn |
| Sep 30, 2022 | 532.00 Mn |
| Jun 30, 2022 | 497.30 Mn |
| Mar 31, 2022 | 315.00 Mn |
| Dec 31, 2021 | 236.23 Mn |
| Sep 30, 2021 | 202.85 Mn |
ProFrac Holding 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=ACDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ACDC", "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=ACDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();