AstroNova (ALOT) Depreciation and Depletion (2020 - 2026)
AstroNova's Depreciation and Depletion was $400,000 in fiscal Q1 2027 (quarter ended Apr 30, 2026), down 33.3% from $600,000 a year earlier and unchanged from the prior quarter.
AstroNova (ALOT) Depreciation and Depletion (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, AstroNova's Depreciation and Depletion was $1.5 million through Apr 30, 2026, down 34.8% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $1.8 million, down 14.3% from FY2025.
- Depreciation and Depletion shows a five-year compound annual growth rate of -1.1% (FY2021 to FY2026).
- In earlier fiscal years, Depreciation and Depletion was $2.1 million in FY2025 (+16.7%), $1.8 million in FY2024 (-10.0%), $2 million in FY2023 (+17.6%) and $1.7 million in FY2022 (-10.5%).
- Quarterly Depreciation and Depletion has moved between $200,000 (fiscal Q3 2026) and $1 million (fiscal Q4 2023) over five years.
- Compared with a year earlier, Depreciation and Depletion has declined for four straight quarters, with an average decline of 2.1% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was fiscal Q4 2023 (growth of 100.0%); the worst was fiscal Q3 2022 (a decline of 73.3%).
- Per Business Quant data, ALOT's Depreciation and Depletion in the three fiscal quarters before Q1 2027 was $400,000 (Q4 2026), $200,000 (Q3 2026) and $500,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | - |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | - |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 175.00 Mn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 53.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 156.00 Mn |
| 10 | AstroNova | 224.61 Mn | 208.40 Mn | 14.43 Mn | 400,000.00 |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 400,000.00 |
| Jan 31, 2026 | 400,000.00 |
| Oct 31, 2025 | 200,000.00 |
| Jul 31, 2025 | 500,000.00 |
| Apr 30, 2025 | 600,000.00 |
| Jan 31, 2025 | 500,000.00 |
| Nov 2, 2024 | 600,000.00 |
| Aug 3, 2024 | 600,000.00 |
| Apr 27, 2024 | 400,000.00 |
| Jan 31, 2024 | 500,000.00 |
| Oct 28, 2023 | 400,000.00 |
| Jul 29, 2023 | 500,000.00 |
| Apr 29, 2023 | 400,000.00 |
| Jan 31, 2023 | 1.00 Mn |
| Oct 29, 2022 | 500,000.00 |
| Jul 30, 2022 | 500,000.00 |
| Apr 30, 2022 | 400,000.00 |
| Jan 31, 2022 | 500,000.00 |
| Oct 30, 2021 | 400,000.00 |
| Jan 31, 2021 | 1.50 Mn |
AstroNova Depreciation and Depletion 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=depreciation-and-depletion&ticker=ALOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "ALOT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=ALOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();