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 | 74.25 Bn | 70.18 Bn | 1.40 Bn |
| 2 | Baker Hughes | 55.13 Bn | 18.23 Bn | 1.58 Bn |
| 3 | Halliburton | 27.88 Bn | 19.60 Bn | 804.00 Mn |
| 4 | TechnipFMC | 27.38 Bn | 23.52 Bn | 684.70 Mn |
| 5 | Noble | 6.85 Bn | 4.78 Bn | 239.27 Mn |
| 6 | Nov | 6.79 Bn | 1.52 Bn | 521.00 Mn |
| 7 | Transocean | 6.50 Bn | 4.20 Bn | 358.00 Mn |
| 8 | Valaris | 6.10 Bn | 3.71 Bn | 123.70 Mn |
| 9 | Weatherford International | 5.68 Bn | 1.61 Bn | 333.00 Mn |
| 10 | Rpc | 1.34 Bn | 581.50 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();