AstroNova (ALOT) Exchange Rate Effect (2014 - 2026)
AstroNova (ALOT) reported Exchange Rate Effect of -$135,000 for fiscal Q1 2027 (quarter ended Apr 30, 2026), compared with $198,000 a year earlier.
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Analysis
AstroNova (ALOT) Exchange Rate Effect (2014 - 2026) Analysis & Trends
Over the twelve months ended Apr 30, 2026, AstroNova's Exchange Rate Effect came in at $27,000, down 96.4% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $360,000, down 37.0% from FY2025.
- By fiscal year, Exchange Rate Effect came in at $571,000 in FY2025 (+682.2%), $73,000 in FY2024 (-36.0%), $114,000 in FY2023 and -$205,000 in FY2022.
- The fiscal Q1 2027 figure ranks as the lowest quarterly Exchange Rate Effect since fiscal Q4 2024.
- Year over year, Exchange Rate Effect gained in three of the last six quarters, with growth averaging 168.3%.
- The high point for year-over-year Exchange Rate Effect in five years was fiscal Q1 2026 (growth of 890.0%); the low point was fiscal Q3 2024 (a decline of 93.7%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $44,000 (Q4 2026), $80,000 (Q3 2026) and $38,000 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | -11.00 Mn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | -13.00 Mn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 1.00 Mn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | -20.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | -60.00 Mn |
| 10 | AstroNova | 224.61 Mn | 208.40 Mn | 14.43 Mn | -135,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | -135,000.00 |
| Jan 31, 2026 | 44,000.00 |
| Oct 31, 2025 | 80,000.00 |
| Jul 31, 2025 | 38,000.00 |
| Apr 30, 2025 | 198,000.00 |
| Jan 31, 2025 | 336,000.00 |
| Nov 2, 2024 | 21,000.00 |
| Aug 3, 2024 | 194,000.00 |
| Apr 27, 2024 | 20,000.00 |
| Jan 31, 2024 | -163,000.00 |
| Oct 28, 2023 | 26,000.00 |
| Jul 29, 2023 | 155,000.00 |
| Apr 29, 2023 | 55,000.00 |
| Jan 31, 2023 | -199,000.00 |
| Oct 29, 2022 | 411,000.00 |
| Jul 30, 2022 | -151,000.00 |
| Apr 30, 2022 | 53,000.00 |
| Jan 31, 2022 | -33,000.00 |
| Oct 30, 2021 | -9,000.00 |
| Jul 31, 2021 | -192,000.00 |
API Access
AstroNova Exchange Rate Effect 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=exchange-rate-effect&ticker=ALOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=ALOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();