ProFrac Holding (ACDC) Long-Term Debt Repayments (2021 - 2026)
ProFrac Holding (ACDC) reported Long-Term Debt Repayments of $34.7 million for Q2 2026, up 18.0% from $29.4 million a year earlier but down 1.7% from the prior quarter.
ProFrac Holding (ACDC) Long-Term Debt Repayments (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, ProFrac Holding's Long-Term Debt Repayments came in at $134.2 million, down 22.7% year-over-year; for FY2025, it came in at $136.1 million, down 13.4% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $157.2 million in FY2024 (-83.4%), $946.7 million in FY2023 (+78.1%), $531.7 million in FY2022 (+261.9%) and $146.9 million in FY2021 (+83.4%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $8.01 million in Q4 2021 and a high of $842.8 million in Q4 2023.
- Year over year, Long-Term Debt Repayments gained in four of the last eight quarters, with growth averaging 5.3%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q3 2024 (growth of 132.5%); the low point was Q4 2024 (a decline of 94.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $35.3 million (Q1 2026), $32.4 million (Q4 2025) and $31.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 74.46 Bn | 70.39 Bn | 1.40 Bn | -3.00 Mn |
| 2 | Baker Hughes | 55.20 Bn | 18.31 Bn | 1.58 Bn | - |
| 3 | Halliburton | 28.14 Bn | 19.85 Bn | 804.00 Mn | - |
| 4 | TechnipFMC | 27.23 Bn | 23.37 Bn | 684.70 Mn | - |
| 5 | Noble | 6.86 Bn | 4.80 Bn | 239.27 Mn | 814.12 Mn |
| 6 | Nov | 6.79 Bn | 1.52 Bn | 521.00 Mn | 17.00 Mn |
| 7 | Transocean | 6.52 Bn | 4.23 Bn | 358.00 Mn | 30.00 Mn |
| 8 | Valaris | 6.13 Bn | 3.75 Bn | 123.70 Mn | - |
| 9 | Weatherford International | 5.68 Bn | 1.61 Bn | 333.00 Mn | 9.00 Mn |
| 10 | ProFrac Holding | 746.20 Mn | 613.00 Mn | 110.00 Mn | 34.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.70 Mn |
| Mar 31, 2026 | 35.30 Mn |
| Dec 31, 2025 | 32.40 Mn |
| Sep 30, 2025 | 31.80 Mn |
| Jun 30, 2025 | 29.40 Mn |
| Mar 31, 2025 | 42.50 Mn |
| Dec 31, 2024 | 47.20 Mn |
| Sep 30, 2024 | 54.40 Mn |
| Jun 30, 2024 | 18.10 Mn |
| Mar 31, 2024 | 37.50 Mn |
| Dec 31, 2023 | 842.80 Mn |
| Sep 30, 2023 | 23.40 Mn |
| Jun 30, 2023 | 62.30 Mn |
| Mar 31, 2023 | 18.20 Mn |
| Dec 31, 2022 | 15.90 Mn |
| Sep 30, 2022 | 18.00 Mn |
| Jun 30, 2022 | 270.00 Mn |
| Mar 31, 2022 | 227.80 Mn |
| Dec 31, 2021 | 8.01 Mn |
| Sep 30, 2021 | 120.03 Mn |
ProFrac Holding Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ACDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ACDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();