GPO Plus (GPOX) Non Operating Interest Expenses (2021 - 2026)
GPO Plus (GPOX) reported Non Operating Interest Expenses of $191,308 for fiscal Q4 2026 (quarter ended Apr 30, 2026), down 77.5% from $849,738 a year earlier but up 8.9% from the prior quarter.
GPO Plus (GPOX) Non Operating Interest Expenses (2021 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), GPO Plus posted Non Operating Interest Expenses of $722,426, down 37.6% from FY2025.
- Non Operating Interest Expenses has a four-year compound annual growth rate of 21.6% (FY2022 to FY2026).
- By fiscal year, Non Operating Interest Expenses came in at $1.16 million in FY2025 (+21.5%), $953,206 in FY2024 (+126.3%), $421,284 in FY2023 (+27.7%) and $329,884 in FY2022.
- Five-year quarterly Non Operating Interest Expenses spans a low of $29,442 in fiscal Q1 2023 and a high of $849,738 in fiscal Q4 2025.
- Year over year, Non Operating Interest Expenses gained in four of the last eight quarters, with growth averaging 21.5%.
- The high point for year-over-year Non Operating Interest Expenses in five years was fiscal Q1 2024 (growth of 872.8%); the low point was fiscal Q4 2026 (a decline of 77.5%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $175,617 (Q3 2026), $86,007 (Q2 2026) and $269,494 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 137.00 Mn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 32.00 Mn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | - |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 3.00 Mn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 22.06 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 77.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 17.10 Mn |
| 10 | GPO Plus | 1.15 Mn | 2.87 Mn | 345,265.00 | 191,308.00 |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 191,308.00 |
| Jan 31, 2026 | 175,617.00 |
| Oct 31, 2025 | 86,007.00 |
| Jul 31, 2025 | 269,494.00 |
| Apr 30, 2025 | 849,738.00 |
| Jan 31, 2025 | 123,209.00 |
| Oct 31, 2024 | 84,146.00 |
| Jul 31, 2024 | 101,507.00 |
| Apr 30, 2024 | 302,885.00 |
| Jan 31, 2024 | 145,202.00 |
| Oct 31, 2023 | 218,697.00 |
| Jul 31, 2023 | 286,422.00 |
| Apr 30, 2023 | 195,047.00 |
| Jan 31, 2023 | 134,144.00 |
| Oct 31, 2022 | 62,651.00 |
| Jul 31, 2022 | 29,442.00 |
| Apr 30, 2022 | 31,304.00 |
| Jan 31, 2022 | 102,969.00 |
| Oct 31, 2021 | 108,593.00 |
| Jul 31, 2021 | 40,032.00 |
GPO Plus 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=GPOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "GPOX", "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=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();