National Energy Services Reunited (NESR) Exchange Rate Effect (2017 - 2021)
National Energy Services Reunited (NESR) recorded Exchange Rate Effect of $8,000 in FY2022, down 11.1% from $9,000 in FY2021.
Powered by 
Analysis
National Energy Services Reunited (NESR) Exchange Rate Effect (2017 - 2021) Analysis & Trends
Starting with FY2016, National Energy Services Reunited's Exchange Rate Effect history includes 7 years.
- The FY2022 figure is the lowest annual Exchange Rate Effect since FY2019.
- Per Business Quant data, NESR's Exchange Rate Effect was $9,000 in FY2021 (-74.3%), $35,000 in FY2020, -$19,000 in FY2019 and -$16,000 in FY2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | -8.00 Mn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 18.00 Mn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | -1.20 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | -14.00 Mn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 3.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | - |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | - |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 3.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | - |
| 10 | National Energy Services Reunited | 2.57 Bn | 2.11 Bn | 81.29 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | -25,000.00 |
| Mar 31, 2021 | 34,000.00 |
| Jun 30, 2020 | 6,000.00 |
| Mar 31, 2020 | 29,000.00 |
| Dec 31, 2019 | -19,000.00 |
| Sep 30, 2019 | -19,000.00 |
| Jun 30, 2019 | -19,000.00 |
| Mar 31, 2019 | 24.89 Mn |
| Jun 6, 2018 | -16,000.00 |
| Mar 31, 2018 | 1,000.00 |
| Dec 31, 2017 | -5,000.00 |
| Sep 30, 2017 | -40,000.00 |
| Jun 30, 2017 | -26,000.00 |
API Access
National Energy Services Reunited Exchange Rate Effect 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=exchange-rate-effect&ticker=NESR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "NESR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=exchange-rate-effect&ticker=NESR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();