GPO Plus (GPOX) Non Operating Interest Expenses (2021 - 2026)
GPO Plus (GPOX) reported Non Operating Interest Expenses of $316,700 for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 17.5% from $269,494 a year earlier and up 65.5% from the prior quarter.
GPO Plus (GPOX) Non Operating Interest Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, GPO Plus' Non Operating Interest Expenses came in at $769,632, down 42.0% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $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.
- The fiscal Q1 2027 figure ranks as the highest quarterly Non Operating Interest Expenses since fiscal Q4 2025.
- Year over year, Non Operating Interest Expenses gained in five of the last eight quarters, with growth averaging 31.8%.
- 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 Q1 2027 came in at $191,308 (Q4 2026), $175,617 (Q3 2026) and $86,007 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.08 Bn | 958.78 Bn | 49.13 Bn | 137.00 Mn |
| 2 | Costco Wholesale | 472.58 Bn | 395.86 Bn | 12.19 Bn | 45.00 Mn |
| 3 | Kroger | 40.51 Bn | 26.67 Bn | 7.86 Bn | 3.00 Mn |
| 4 | Sysco | 38.21 Bn | 30.14 Bn | 4.05 Bn | - |
| 5 | Dollar General | 30.30 Bn | 24.97 Bn | 3.68 Bn | - |
| 6 | Dollar Tree | 26.43 Bn | 23.05 Bn | 2.10 Bn | - |
| 7 | Caseys General Stores | 25.82 Bn | 23.81 Bn | 1.24 Bn | 22.06 Mn |
| 8 | US Foods Holding | 23.58 Bn | 23.38 Bn | 1.90 Bn | 78.00 Mn |
| 9 | Tractor Supply | 19.47 Bn | 18.63 Bn | 1.42 Bn | 19.39 Mn |
| 10 | GPO Plus | 966,587.63 | 2.76 Mn | 298,163.00 | 316,700.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 316,700.00 |
| 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 |
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();