Rpc (RES) Restructuring Costs (2019 - 2026)
Rpc (RES) recorded Restructuring Costs of $7.29 million in Q2 2026, up 11.2% from $6.55 million a year earlier and unchanged from the prior quarter.
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Analysis
Rpc (RES) Restructuring Costs (2019 - 2026) Analysis & Trends
On a TTM basis, Rpc's Restructuring Costs came in at $28.34 million as of Jun 30, 2026, up 332.4% year-over-year; for FY2025, it came in at $20.31 million.
- Annual Restructuring Costs has a five-year compound annual growth rate of 60.9% (FY2020 to FY2025).
- Quarterly Restructuring Costs has ranged from $6.47 million in Q3 2025 to $7.29 million in Q1 2026 over the past five years.
- Per Business Quant, the preceding three quarters came in at $7.29 million (Q1 2026), $7.29 million (Q4 2025) and $6.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 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 |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn |
| 10 | Rpc | 1.27 Bn | 516.46 Mn | 115.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.29 Mn |
| Mar 31, 2026 | 7.29 Mn |
| Dec 31, 2025 | 7.29 Mn |
| Sep 30, 2025 | 6.47 Mn |
| Jun 30, 2025 | 6.55 Mn |
| Jun 30, 2020 | 1.49 Mn |
| Mar 31, 2020 | 395,000.00 |
| Dec 31, 2019 | 4.48 Mn |
| Sep 30, 2019 | 1.27 Mn |
API Access
Rpc Restructuring Costs 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=restructuring-costs&ticker=RES&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "RES", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=restructuring-costs&ticker=RES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();