Barrett Business Services (BBSI) Short-Term Debt repayments (2012 - 2016)
Barrett Business Services' Short-Term Debt repayments came in at $4.51 million for FY2025, up 986.3% from $415,000 in FY2024.
Analysis
Barrett Business Services (BBSI) Short-Term Debt repayments (2012 - 2016) Analysis & Trends
Going back to FY2009, Barrett Business Services' Short-Term Debt repayments data covers 13 years.
- Short-Term Debt repayments carries a four-year compound annual growth rate of 13.5% (FY2021 to FY2025).
- The five-year range for annual Short-Term Debt repayments is $415,000 (FY2024) to $12.31 million (FY2023).
- Per Business Quant, earlier years put Short-Term Debt repayments at $415,000 in FY2024 (-96.6%), $12.31 million in FY2023 and $2.72 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 174.26 Bn | 134.67 Bn | 6.13 Bn | - |
| 2 | Cintas | 89.80 Bn | 88.88 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 34.28 Bn | 33.80 Bn | 1.07 Bn | - |
| 4 | APi | 19.27 Bn | 16.49 Bn | 770.00 Mn | - |
| 5 | Rollins | 17.22 Bn | 16.76 Bn | 582.90 Mn | - |
| 6 | UL Solutions | 15.17 Bn | 13.96 Bn | 417.00 Mn | - |
| 7 | Gartner | 14.87 Bn | 8.56 Bn | 1.19 Bn | - |
| 8 | Aramark | 14.29 Bn | 12.31 Bn | 430.34 Mn | - |
| 9 | Rentokil Initial | 12.16 Bn | 5.67 Bn | - | - |
| 10 | Barrett Business Services | 804.04 Mn | 377.34 Mn | 64.85 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 3.57 Mn |
| Mar 31, 2016 | 11.30 Mn |
| Sep 30, 2015 | 4.40 Mn |
| Jun 30, 2015 | 19.23 Mn |
| Mar 31, 2015 | 22.48 Mn |
| Dec 31, 2014 | 2.51 Mn |
| Jun 30, 2014 | 3.73 Mn |
| Jun 30, 2013 | 54.61 Mn |
| Mar 31, 2013 | 82.59 Mn |
| Dec 31, 2012 | 33.51 Mn |
| Sep 30, 2012 | 12.19 Mn |
API Access
Barrett Business Services Short-Term Debt repayments 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=short-term-debt-repayments&ticker=BBSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "ticker": "BBSI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt-repayments&ticker=BBSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();