TrueBlue (TBI) Non Operating Interest Expenses (2009 - 2020)
TrueBlue (TBI) posted Non Operating Interest Expenses of $628,000 for Q3 2020, down 12.2% from $715,000 a year earlier and down 67.5% from the prior quarter.
TrueBlue (TBI) Non Operating Interest Expenses (2009 - 2020) Analysis & Trends
For the trailing twelve months through Sep 27, 2020, Non Operating Interest Expenses at TrueBlue was $3.79 million, up 12.3% year-over-year; for FY2019, it came in at $2.78 million, down 43.0% from FY2018.
- Annual Non Operating Interest Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -2.5% (FY2014 to FY2019).
- In prior years, TrueBlue's Non Operating Interest Expenses was $4.88 million in FY2018 (-11.2%), $5.49 million in FY2017 (-23.3%), $7.17 million in FY2016 (+72.3%) and $4.16 million in FY2015 (+31.8%).
- Quarterly Non Operating Interest Expenses has run from a low of $543,000 in Q1 2020 to a high of $1.93 million in Q2 2020 over five years.
- On a year-over-year basis, Non Operating Interest Expenses increased in 1 of the last eight quarters, with an average decline of 3.5%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q2 2020, with growth of 192.9%; the weakest was Q2 2019, with a decline of 51.3%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $1.93 million (Q2 2020), $543,000 (Q1 2020) and $686,000 (Q4 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 25.84 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | - |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 9.39 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 5.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 22.27 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | TrueBlue | 280.08 Mn | 188.30 Mn | 91.58 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2020 | 628,000.00 |
| Jun 28, 2020 | 1.93 Mn |
| Mar 29, 2020 | 543,000.00 |
| Dec 29, 2019 | 686,000.00 |
| Sep 29, 2019 | 715,000.00 |
| Jun 30, 2019 | 660,000.00 |
| Mar 31, 2019 | 722,000.00 |
| Dec 30, 2018 | 1.28 Mn |
| Sep 30, 2018 | 1.36 Mn |
| Jul 1, 2018 | 1.36 Mn |
| Apr 1, 2018 | 890,000.00 |
| Dec 31, 2017 | 1.60 Mn |
| Oct 1, 2017 | 1.37 Mn |
| Jul 2, 2017 | 1.30 Mn |
| Apr 2, 2017 | 1.23 Mn |
| Jan 1, 2017 | 1.74 Mn |
| Sep 23, 2016 | 1.72 Mn |
| Jun 24, 2016 | 1.74 Mn |
| Mar 25, 2016 | 1.97 Mn |
| Dec 25, 2015 | 1.18 Mn |
TrueBlue 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=TBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "TBI", "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=TBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();