Digi International (DGII) Operating Expenses (2010 - 2026)
Digi International (DGII) reported Operating Expenses of $67.03 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 25.7% from $53.35 million a year earlier and up 0.6% from the prior quarter.
Digi International (DGII) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Digi International's Operating Expenses came in at $252.5 million, up 23.2% year-over-year; for FY2025 (ended Sep 30, 2025), it was $214.39 million, up 6.2% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $201.82 million in FY2024 (-0.1%), $202.11 million in FY2023 (+13.5%), $178.07 million in FY2022 (+14.1%) and $156.13 million in FY2021 (+17.7%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Operating Expenses in data going back to fiscal Q3 2010.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 12.1% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q2 2026 (growth of 30.1%); the low point was fiscal Q2 2025 (a decline of 5.5%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $66.6 million (Q2 2026), $60.07 million (Q1 2026) and $58.8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,812.19 Bn | 4,559.68 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.99 Bn | 357.91 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 345.43 Bn | 301.18 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 255.77 Bn | 209.23 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 252.54 Bn | 241.07 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 207.16 Bn | 202.15 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 163.71 Bn | 151.83 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 143.72 Bn | 94.11 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Lumentum Holdings | 86.25 Bn | 78.06 Bn | 477.30 Mn | 198.00 Mn |
| 10 | Digi International | 2.90 Bn | 2.79 Bn | 89.93 Mn | 67.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.03 Mn |
| Mar 31, 2026 | 66.60 Mn |
| Dec 31, 2025 | 60.07 Mn |
| Sep 30, 2025 | 58.80 Mn |
| Jun 30, 2025 | 53.35 Mn |
| Mar 31, 2025 | 51.21 Mn |
| Dec 31, 2024 | 51.04 Mn |
| Sep 30, 2024 | 49.33 Mn |
| Jun 30, 2024 | 49.35 Mn |
| Mar 31, 2024 | 54.17 Mn |
| Dec 31, 2023 | 48.97 Mn |
| Sep 30, 2023 | 50.51 Mn |
| Jun 30, 2023 | 51.34 Mn |
| Mar 31, 2023 | 50.70 Mn |
| Dec 31, 2022 | 49.56 Mn |
| Sep 30, 2022 | 42.11 Mn |
| Jun 30, 2022 | 47.45 Mn |
| Mar 31, 2022 | 44.42 Mn |
| Dec 31, 2021 | 44.08 Mn |
| Sep 30, 2021 | 39.34 Mn |
Digi International Operating 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=operating-expenses&ticker=DGII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DGII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();