Digi International (DGII) Asset Writedowns and Impairment (2010 - 2022)
Digi International (DGII) reported Asset Writedowns and Impairment of $3.02 million for fiscal Q1 2023 (quarter ended Dec 31, 2022), up 403.2% from $600,000 a year earlier.
Digi International (DGII) Asset Writedowns and Impairment (2010 - 2022) Analysis & Trends
Over the twelve months ended Dec 31, 2022, Digi International's Asset Writedowns and Impairment came in at $9.32 million, up 676.7% year-over-year; for FY2022 (ended Sep 30, 2022), it came in at $6.9 million, up 475.1% from FY2021.
- Asset Writedowns and Impairment has a five-year compound annual growth rate of 30.1% (FY2017 to FY2022).
- By fiscal year, Asset Writedowns and Impairment came in at $1.2 million in FY2021 (-54.4%), $2.63 million in FY2020 (+40.3%), $1.87 million in FY2019 (-8.9%) and $2.06 million in FY2018 (+11.1%).
- Five-year quarterly Asset Writedowns and Impairment spans a low of $61,000 in fiscal Q2 2020 and a high of $5.13 million in fiscal Q2 2022.
- Year over year, Asset Writedowns and Impairment gained in three of the last four quarters, with growth averaging 510.5%.
- The high point for year-over-year Asset Writedowns and Impairment in five years was fiscal Q2 2021 (growth of 883.6%); the low point was fiscal Q2 2020 (a decline of 86.4%).
- Per Business Quant data, the three fiscal quarters before Q1 2023 came in at $191,000 (Q4 2022), $978,000 (Q3 2022) and $5.13 million (Q2 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn |
| 10 | Digi International | 2.87 Bn | 2.76 Bn | 89.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 3.02 Mn |
| Sep 30, 2022 | 191,000.00 |
| Jun 30, 2022 | 978,000.00 |
| Mar 31, 2022 | 5.13 Mn |
| Dec 31, 2021 | 600,000.00 |
| Mar 31, 2021 | 600,000.00 |
| Dec 31, 2020 | 600,000.00 |
| Sep 30, 2020 | 1.16 Mn |
| Jun 30, 2020 | 951,000.00 |
| Mar 31, 2020 | 61,000.00 |
| Dec 31, 2019 | 455,000.00 |
| Sep 30, 2019 | 524,000.00 |
| Jun 30, 2019 | 450,000.00 |
| Mar 31, 2019 | 450,000.00 |
| Dec 31, 2018 | 450,000.00 |
| Sep 30, 2018 | 506,000.00 |
| Jun 30, 2018 | 650,000.00 |
| Mar 31, 2018 | 450,000.00 |
| Dec 31, 2017 | 450,000.00 |
| Sep 30, 2017 | 820,000.00 |
Digi International Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=DGII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=DGII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();