Distribution Solutions (DSGR) Interest Expenses (2010 - 2026)
Distribution Solutions' Interest Expenses was $12.99 million in Q2 2026, down 8.8% from $14.24 million a year earlier but up 6.7% from the prior quarter.
Distribution Solutions (DSGR) Interest Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Distribution Solutions' Interest Expenses was $52.06 million through Jun 30, 2026, down 11.7% year-over-year; for FY2025, it was $55.35 million, up 0.4% from FY2024.
- Interest Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 142.9% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $55.15 million in FY2024 (+28.9%), $42.77 million in FY2023 (+76.0%), $24.3 million in FY2022 (+45.2%) and $16.74 million in FY2021.
- Quarterly Interest Expenses has moved between $3.75 million (Q2 2022) and $15.37 million (Q4 2024) over five years.
- Compared with a year earlier, Interest Expenses has declined for four straight quarters, with growth averaging 2.9% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was Q2 2023 (growth of 153.1%); the worst was Q4 2025 (a decline of 15.8%).
- Per Business Quant data, DSGR's Interest Expenses in the three quarters before Q2 2026 was $12.17 million (Q1 2026), $12.94 million (Q4 2025) and $13.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | - |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 1.20 Mn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | - |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | - |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 18.20 Mn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | - |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | - |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | - |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | 39.40 Mn |
| 10 | Distribution Solutions | 1.61 Bn | 1.36 Bn | 180.14 Mn | 12.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.99 Mn |
| Mar 31, 2026 | 12.17 Mn |
| Dec 31, 2025 | 12.94 Mn |
| Sep 30, 2025 | 13.96 Mn |
| Jun 30, 2025 | 14.24 Mn |
| Mar 31, 2025 | 14.22 Mn |
| Dec 31, 2024 | 15.37 Mn |
| Sep 30, 2024 | 15.16 Mn |
| Jun 30, 2024 | 12.79 Mn |
| Mar 31, 2024 | 11.83 Mn |
| Dec 31, 2023 | 12.72 Mn |
| Sep 30, 2023 | 12.90 Mn |
| Jun 30, 2023 | 9.49 Mn |
| Mar 31, 2023 | 7.67 Mn |
| Dec 31, 2022 | 7.60 Mn |
| Sep 30, 2022 | 6.10 Mn |
| Jun 30, 2022 | 3.75 Mn |
| Mar 31, 2022 | 6.86 Mn |
| Dec 31, 2021 | 4.26 Mn |
| Sep 30, 2021 | 3.98 Mn |
Distribution Solutions 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=interest-expenses&ticker=DSGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "DSGR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=DSGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();