Digi International (DGII) Inventory (2010 - 2026)
Digi International (DGII) posted Inventory of $45.01 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 27.0% from $35.44 million a year earlier and up 0.5% from the prior quarter.
Digi International (DGII) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Digi International's Inventory came in at $38.91 million, down 27.1% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- In prior fiscal years, Digi International's Inventory was $53.36 million in FY2024 (-28.3%), $74.4 million in FY2023 (+1.6%), $73.22 million in FY2022 (+66.7%) and $43.92 million in FY2021 (-14.8%).
- The fiscal Q3 2026 figure stands as the highest quarterly Inventory since fiscal Q1 2025.
- On a year-over-year basis, Inventory increased in two of the last eight quarters, with an average decline of 16.8%.
- The strongest year-over-year quarter for Inventory in the past five years was fiscal Q4 2022, with growth of 66.7%; the weakest was fiscal Q2 2025, with a decline of 37.9%.
- According to Business Quant data, Inventory for the three prior fiscal quarters was $44.77 million (Q2 2026), $39.57 million (Q1 2026) and $38.91 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 11.09 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 5.69 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 21.29 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 2.54 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 2.70 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 1.57 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 1.51 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 8.56 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 11.82 Bn |
| 10 | Digi International | 2.97 Bn | 2.86 Bn | 89.93 Mn | 45.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.01 Mn |
| Mar 31, 2026 | 44.77 Mn |
| Dec 31, 2025 | 39.57 Mn |
| Sep 30, 2025 | 38.91 Mn |
| Jun 30, 2025 | 35.44 Mn |
| Mar 31, 2025 | 38.60 Mn |
| Dec 31, 2024 | 50.18 Mn |
| Sep 30, 2024 | 53.36 Mn |
| Jun 30, 2024 | 56.67 Mn |
| Mar 31, 2024 | 62.19 Mn |
| Dec 31, 2023 | 67.59 Mn |
| Sep 30, 2023 | 74.40 Mn |
| Jun 30, 2023 | 83.61 Mn |
| Mar 31, 2023 | 83.07 Mn |
| Dec 31, 2022 | 80.99 Mn |
| Sep 30, 2022 | 73.22 Mn |
| Jun 30, 2022 | 61.69 Mn |
| Mar 31, 2022 | 51.67 Mn |
| Dec 31, 2021 | 51.87 Mn |
| Sep 30, 2021 | 43.92 Mn |
Digi International 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=inventory&ticker=DGII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "DGII", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=DGII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();