Primoris Services (PRIM) Non Operating Interest Expenses (2010 - 2021)
Primoris Services' Non Operating Interest Expenses came in at $4.83 million for Q2 2021, up 30.8% from $3.69 million a year earlier and up 2.2% from the prior quarter.
Primoris Services (PRIM) Non Operating Interest Expenses (2010 - 2021) Analysis & Trends
Over the trailing twelve months to Jun 30, 2021, Primoris Services reported Non Operating Interest Expenses of $17.04 million, down 17.2% year-over-year; for FY2020, it came in at $20.3 million, up 1.0% from FY2019.
- Non Operating Interest Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 21.4% (FY2015 to FY2020).
- Going back by year, Non Operating Interest Expenses was $20.1 million in FY2019 (+7.2%), $18.75 million in FY2018 (+130.1%), $8.15 million in FY2017 (-8.6%) and $8.91 million in FY2016 (+15.9%).
- The Q2 2021 figure represents the highest quarterly Non Operating Interest Expenses since Q1 2020.
- Year-over-year, Non Operating Interest Expenses increased in three of the last eight quarters, with an average decline of 10.6%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q4 2018 (growth of 361.3%), and the weakest in Q4 2019 (a decline of 63.4%).
- Business Quant data shows PRIM's Non Operating Interest Expenses at $4.72 million (Q1 2021), $2.77 million (Q4 2020) and $4.73 million (Q3 2020) in the three quarters before Q2 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.97 Bn | 88.05 Bn | 1.55 Bn | 73.55 Mn |
| 2 | Ferrovial | 35.96 Bn | 14.21 Bn | - | - |
| 3 | Emcor | 31.03 Bn | 27.43 Bn | 1.02 Bn | - |
| 4 | Jacobs Solutions | 16.77 Bn | 11.44 Bn | 810.70 Mn | 54.65 Mn |
| 5 | Mastec | 14.08 Bn | 12.87 Bn | 556.28 Mn | 47.17 Mn |
| 6 | Sterling Infrastructure | 12.66 Bn | 10.99 Bn | 289.96 Mn | 3.09 Mn |
| 7 | IES Holdings | 9.42 Bn | 8.28 Bn | 340.66 Mn | 1.01 Mn |
| 8 | Stantec | 8.00 Bn | 6.93 Bn | 1.36 Bn | - |
| 9 | Aecom | 7.66 Bn | 2.78 Bn | -34.04 Mn | 47.64 Mn |
| 10 | Primoris Services | 3.91 Bn | 2.37 Bn | 82.40 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2021 | 4.83 Mn |
| Mar 31, 2021 | 4.72 Mn |
| Dec 31, 2020 | 2.77 Mn |
| Sep 30, 2020 | 4.73 Mn |
| Jun 30, 2020 | 3.69 Mn |
| Mar 31, 2020 | 9.11 Mn |
| Dec 31, 2019 | 2.60 Mn |
| Sep 30, 2019 | 5.19 Mn |
| Jun 30, 2019 | 6.72 Mn |
| Mar 31, 2019 | 5.59 Mn |
| Dec 31, 2018 | 7.11 Mn |
| Sep 30, 2018 | 6.45 Mn |
| Jun 30, 2018 | 3.19 Mn |
| Mar 31, 2018 | 2.00 Mn |
| Dec 31, 2017 | 1.54 Mn |
| Sep 30, 2017 | 2.20 Mn |
| Jun 30, 2017 | 2.15 Mn |
| Mar 31, 2017 | 2.26 Mn |
| Dec 31, 2016 | 2.16 Mn |
| Sep 30, 2016 | 2.25 Mn |
Primoris Services Non Operating Interest 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=non-operating-interest-expenses&ticker=PRIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "PRIM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=PRIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();