Nixxy (NIXX) Operating Expenses (2010 - 2026)
Nixxy (NIXX) posted Operating Expenses of $30.32 million for Q1 2026, up 495.9% from $5.09 million a year earlier but down 43.0% from the prior quarter.
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Analysis
Nixxy (NIXX) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Operating Expenses at Nixxy was $133.81 million, up 694.7% year-over-year; for FY2025, it was $109.66 million, up 741.9% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 64.5% (FY2020 to FY2025).
- In prior years, Nixxy's Operating Expenses was $13.03 million in FY2024 (+19.2%), $10.92 million in FY2023 (-57.0%), $25.43 million in FY2022 (+5.0%) and $24.22 million in FY2021 (+166.1%).
- Quarterly Operating Expenses has run from a low of $1.12 million in Q2 2024 to a high of $53.22 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 349.7% over the last seven quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2025, with growth of 963.4%; the weakest was Q2 2023, with a decline of 73.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $53.22 million (Q4 2025), $34.08 million (Q3 2025) and $16.19 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn | 198.00 Mn |
| 10 | Nixxy | 8.61 Mn | 3.75 Mn | - | 30.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 30.32 Mn |
| Dec 31, 2025 | 53.22 Mn |
| Sep 30, 2025 | 34.08 Mn |
| Jun 30, 2025 | 16.19 Mn |
| Mar 31, 2025 | 5.09 Mn |
| Dec 31, 2024 | 5.00 Mn |
| Sep 30, 2024 | 5.63 Mn |
| Jun 30, 2024 | 1.12 Mn |
| Mar 31, 2024 | 1.28 Mn |
| Dec 31, 2023 | 3.98 Mn |
| Sep 30, 2023 | 2.03 Mn |
| Jun 30, 2023 | 1.38 Mn |
| Mar 31, 2023 | 3.54 Mn |
| Dec 31, 2022 | 5.78 Mn |
| Sep 30, 2022 | 7.61 Mn |
| Jun 30, 2022 | 5.26 Mn |
| Mar 31, 2022 | 6.82 Mn |
| Dec 31, 2021 | 8.64 Mn |
| Sep 30, 2021 | 8.86 Mn |
| Jun 30, 2021 | 3.89 Mn |
API Access
Nixxy 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=NIXX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NIXX", "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=NIXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();