Precision Drilling (PDS) Change in Accrued Expenses (2009 - 2022)
Precision Drilling (PDS) posted Change in Accrued Expenses of $255.71 million for Q2 2022, up 56.1% from $163.81 million a year earlier but down 7.8% from the prior quarter.
Powered by 
Analysis
Precision Drilling (PDS) Change in Accrued Expenses (2009 - 2022) Analysis & Trends
For the trailing twelve months through Jun 30, 2022, Change in Accrued Expenses at Precision Drilling was $883.73 million, down 2.2% year-over-year; for FY2018, it was $1.19 billion, up 16.9% from FY2017.
- Annual Change in Accrued Expenses shows a three-year compound annual growth rate of -0.8% (FY2015 to FY2018).
- In prior years, Precision Drilling's Change in Accrued Expenses was $1.02 billion in FY2017 (+34.4%), $757.69 million in FY2016 (-37.9%) and $1.22 billion in FY2015.
- Quarterly Change in Accrued Expenses has run from a low of $163.81 million in Q2 2021 to a high of $326.37 million in Q1 2019 over five years.
- The strongest year-over-year quarter for Change in Accrued Expenses in the past five years was Q2 2022, with growth of 56.1%; the weakest was Q3 2019, with a decline of 2.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.30 Bn | 73.91 Bn | 1.57 Bn | 598.00 Mn |
| 2 | Baker Hughes | 49.10 Bn | 11.25 Bn | 1.96 Bn | - |
| 3 | Halliburton | 27.94 Bn | 19.88 Bn | 840.00 Mn | - |
| 4 | TechnipFMC | 25.83 Bn | 21.81 Bn | 728.70 Mn | - |
| 5 | Noble | 6.97 Bn | 5.04 Bn | 228.22 Mn | - |
| 6 | Nov | 6.45 Bn | 1.39 Bn | 439.00 Mn | 23.00 Mn |
| 7 | Weatherford International | 6.27 Bn | 2.04 Bn | 374.00 Mn | 37.00 Mn |
| 8 | Transocean | 6.19 Bn | 4.23 Bn | 348.00 Mn | - |
| 9 | Valaris | 5.84 Bn | 3.59 Bn | 176.30 Mn | - |
| 10 | Precision Drilling | 1.32 Bn | 1.17 Bn | 111.41 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 255.71 Mn |
| Mar 31, 2022 | 277.37 Mn |
| Jun 30, 2021 | 163.81 Mn |
| Mar 31, 2021 | 186.84 Mn |
| Sep 30, 2019 | 284.53 Mn |
| Jun 30, 2019 | 268.63 Mn |
| Mar 31, 2019 | 326.37 Mn |
| Dec 31, 2018 | 323.51 Mn |
| Sep 30, 2018 | 292.57 Mn |
| Jun 30, 2018 | 256.36 Mn |
| Mar 31, 2018 | 317.28 Mn |
| Dec 31, 2017 | 273.29 Mn |
| Sep 30, 2017 | 250.79 Mn |
| Jun 30, 2017 | 216.32 Mn |
| Mar 31, 2017 | 278.49 Mn |
| Dec 31, 2016 | 226.90 Mn |
| Sep 30, 2016 | 163.91 Mn |
| Jun 30, 2016 | 127.23 Mn |
| Mar 31, 2016 | 219.82 Mn |
| Dec 31, 2015 | 258.49 Mn |
API Access
Precision Drilling Change in Accrued 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=change-in-accured-expenses&ticker=PDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "PDS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=PDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();