GPO Plus (GPOX) Cost of Revenue (2020 - 2026)
GPO Plus (GPOX) posted Cost of Revenue of $997,344 for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 7.7% from $925,874 a year earlier but down 8.7% from the prior quarter.
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Analysis
GPO Plus (GPOX) Cost of Revenue (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Cost of Revenue at GPO Plus was $4.17 million, up 16.0% year-over-year; for FY2026 (ended Apr 30, 2026), it was $4.1 million, up 13.4% from FY2025.
- Annual Cost of Revenue has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 41.2% (FY2021 to FY2026).
- In prior fiscal years, GPO Plus' Cost of Revenue was $3.61 million in FY2025 (+2.6%), $3.52 million in FY2024 (+653.2%), $467,504 in FY2023 (-59.1%) and $1.14 million in FY2022 (+56.4%).
- Quarterly Cost of Revenue has run from a low of $13,093 in fiscal Q1 2023 to a high of $1.2 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Cost of Revenue increased in three of the last eight quarters, with growth averaging 6.5%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was fiscal Q4 2024, with growth of 140.2%; the weakest was fiscal Q1 2023, with a decline of 95.4%.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $1.09 million (Q4 2026), $881,465 (Q3 2026) and $1.2 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.08 Bn | 958.78 Bn | 49.13 Bn | 138.80 Bn |
| 2 | Costco Wholesale | 472.58 Bn | 395.86 Bn | 12.19 Bn | 83.53 Bn |
| 3 | Kroger | 40.51 Bn | 26.67 Bn | 7.86 Bn | 26.76 Bn |
| 4 | Sysco | 38.21 Bn | 30.14 Bn | 4.05 Bn | 17.69 Bn |
| 5 | Dollar General | 30.30 Bn | 24.97 Bn | 3.68 Bn | 7.61 Bn |
| 6 | Dollar Tree | 26.43 Bn | 23.05 Bn | 2.10 Bn | 2.79 Bn |
| 7 | Caseys General Stores | 25.82 Bn | 23.81 Bn | 1.24 Bn | 4.44 Bn |
| 8 | US Foods Holding | 23.58 Bn | 23.38 Bn | 1.90 Bn | 8.50 Bn |
| 9 | Tractor Supply | 19.47 Bn | 18.63 Bn | 1.42 Bn | 2.49 Bn |
| 10 | GPO Plus | 966,587.63 | 2.76 Mn | 298,163.00 | 997,344.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 997,344.00 |
| Apr 30, 2026 | 1.09 Mn |
| Jan 31, 2026 | 881,465.00 |
| Oct 31, 2025 | 1.20 Mn |
| Jul 31, 2025 | 925,874.00 |
| Apr 30, 2025 | 817,527.00 |
| Jan 31, 2025 | 885,855.00 |
| Oct 31, 2024 | 963,675.00 |
| Jul 31, 2024 | 945,994.00 |
| Apr 30, 2024 | 828,909.00 |
| Jan 31, 2024 | 928,413.00 |
| Oct 31, 2023 | 1.02 Mn |
| Jul 31, 2023 | 747,031.00 |
| Apr 30, 2023 | 345,031.00 |
| Jan 31, 2023 | 64,852.00 |
| Oct 31, 2022 | 44,528.00 |
| Jul 31, 2022 | 13,093.00 |
| Apr 30, 2022 | 391,135.00 |
| Jan 31, 2022 | 233,217.00 |
| Oct 31, 2021 | 237,489.00 |
API Access
GPO Plus Cost of Revenue 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=cost-of-revenue&ticker=GPOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();