Willamette Valley Vineyards (WVVI) Change in Inventory (2010 - 2026)
Willamette Valley Vineyards' Change in Inventory came in at -$949,269 for Q1 2026, compared with $690,866 a year earlier.
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Analysis
Willamette Valley Vineyards (WVVI) Change in Inventory (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Willamette Valley Vineyards reported Change in Inventory of -$1.17 million; for FY2025, it came in at $472,590, down 89.7% from FY2024.
- Change in Inventory carries a five-year compound annual growth rate of -5.1% (FY2020 to FY2025).
- Going back by year, Change in Inventory was $4.59 million in FY2024 (-24.9%), $6.11 million in FY2023 (+95.6%), $3.12 million in FY2022 (+125.0%) and $1.39 million in FY2021 (+126.6%).
- The Q1 2026 figure represents the lowest quarterly Change in Inventory since Q2 2021.
- Year-over-year, Change in Inventory increased in two of the last five quarters, with growth averaging 30.6%.
- The fastest year-over-year change in Change in Inventory over five years came in Q3 2023 (growth of 679.2%), and the weakest in Q3 2022 (a decline of 74.4%).
- Business Quant data shows WVVI's Change in Inventory at -$887,100 (Q4 2025), $1.32 million (Q3 2025) and -$651,760 (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 370.32 Bn | 358.96 Bn | 8.42 Bn | - |
| 2 | Diageo | 208.31 Bn | 200.71 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 181.53 Bn | 181.53 Bn | 2.06 Bn | - |
| 4 | Pepsico | 172.96 Bn | 133.40 Bn | 13.11 Bn | 487.00 Mn |
| 5 | Anheuser-Busch InBev | 132.06 Bn | 100.80 Bn | 9.58 Bn | - |
| 6 | Monster Beverage | 81.53 Bn | 69.78 Bn | 1.42 Bn | 40.28 Mn |
| 7 | Ambev | 46.02 Bn | 32.04 Bn | 2.06 Bn | -43.55 Mn |
| 8 | Coca-Cola Europacific Partners | 45.68 Bn | 38.92 Bn | - | - |
| 9 | Keurig Dr Pepper | 41.29 Bn | 41.52 Bn | 3.07 Bn | -234.00 Mn |
| 10 | Willamette Valley Vineyards | 8.71 Mn | 8.71 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -949,269.00 |
| Dec 31, 2025 | -887,100.00 |
| Sep 30, 2025 | 1.32 Mn |
| Jun 30, 2025 | -651,760.00 |
| Mar 31, 2025 | 690,866.00 |
| Dec 31, 2024 | 1.55 Mn |
| Sep 30, 2024 | 1.87 Mn |
| Jun 30, 2024 | 610,904.00 |
| Mar 31, 2024 | 566,885.00 |
| Dec 31, 2023 | 2.25 Mn |
| Sep 30, 2023 | 3.31 Mn |
| Jun 30, 2023 | 182,303.00 |
| Mar 31, 2023 | 368,046.00 |
| Dec 31, 2022 | 1.34 Mn |
| Sep 30, 2022 | 425,291.00 |
| Jun 30, 2022 | 311,839.00 |
| Mar 31, 2022 | 1.04 Mn |
| Dec 31, 2021 | 921,850.00 |
| Sep 30, 2021 | 1.66 Mn |
| Jun 30, 2021 | -1.05 Mn |
API Access
Willamette Valley Vineyards Change in Inventory 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=change-in-inventory&ticker=WVVI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "WVVI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-inventory&ticker=WVVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();