Virco Mfg Corporation (VIRC) Operating Expenses (2010 - 2026)
Virco Mfg Corporation (VIRC) reported Operating Expenses of $24.47 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 4.1% from $25.5 million a year earlier but up 49.6% from the prior quarter.
Virco Mfg Corporation (VIRC) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Virco Mfg Corporation's Operating Expenses came in at $76.78 million, down 7.2% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $77.58 million, down 10.7% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 7.4% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $86.84 million in FY2025 (+3.2%), $84.18 million in FY2024 (+12.7%), $74.7 million in FY2023 (+21.9%) and $61.27 million in FY2022 (+13.0%).
- Five-year quarterly Operating Expenses spans a low of $14.45 million in fiscal Q1 2023 and a high of $28.32 million in fiscal Q2 2025.
- Year over year, Operating Expenses gained in three of the last eight quarters, with an average decline of 5.9%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2022 (growth of 47.7%); the low point was fiscal Q3 2026 (a decline of 22.6%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $16.36 million (Q1 2027), $16.18 million (Q4 2026) and $19.79 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.10 Bn | 25.76 Bn | 860.34 Mn | 680.96 Mn |
| 2 | Somnigroup International | 13.42 Bn | 12.96 Bn | 817.20 Mn | - |
| 3 | Hni | 3.31 Bn | 2.88 Bn | 647.20 Mn | 550.90 Mn |
| 4 | Newell Brands | 2.42 Bn | 1.58 Bn | 812.00 Mn | 529.00 Mn |
| 5 | Sonos | 2.06 Bn | 962.88 Mn | 189.31 Mn | 157.78 Mn |
| 6 | Whirlpool | 1.82 Bn | -1.65 Bn | 442.00 Mn | 412.00 Mn |
| 7 | Arhaus | 1.52 Bn | 596.72 Mn | 172.07 Mn | 117.81 Mn |
| 8 | Millerknoll | 1.47 Bn | 771.78 Mn | 385.30 Mn | 333.50 Mn |
| 9 | Corsair Gaming | 1.41 Bn | 938.61 Mn | 104.29 Mn | 96.68 Mn |
| 10 | Virco Mfg Corporation | 101.17 Mn | 101.17 Mn | 35.01 Mn | 24.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 24.47 Mn |
| Apr 30, 2026 | 16.36 Mn |
| Jan 31, 2026 | 16.18 Mn |
| Oct 31, 2025 | 19.79 Mn |
| Jul 31, 2025 | 25.50 Mn |
| Apr 30, 2025 | 16.11 Mn |
| Jan 31, 2025 | 15.57 Mn |
| Oct 31, 2024 | 25.57 Mn |
| Jul 31, 2024 | 28.32 Mn |
| Apr 30, 2024 | 17.38 Mn |
| Jan 31, 2024 | 18.84 Mn |
| Oct 31, 2023 | 23.51 Mn |
| Jul 31, 2023 | 27.32 Mn |
| Apr 30, 2023 | 14.51 Mn |
| Jan 31, 2023 | 17.60 Mn |
| Oct 31, 2022 | 21.98 Mn |
| Jul 31, 2022 | 20.67 Mn |
| Apr 30, 2022 | 14.45 Mn |
| Jan 31, 2022 | 15.25 Mn |
| Oct 31, 2021 | 17.78 Mn |
Virco Mfg Corporation 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=VIRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "VIRC", "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=VIRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();