Nextnav (NN) Accumulated Expenses (2020 - 2026)
Nextnav's Accumulated Expenses came in at $7.58 million for Q3 2023, up 26.9% from the prior quarter.
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Analysis
Nextnav (NN) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2022, Nextnav's Accumulated Expenses was $5.24 million, up 13.9% from FY2021.
- Going back by year, Accumulated Expenses was $4.6 million in FY2021 (+29.2%) and $3.56 million in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,130.72 Bn | 4,876.19 Bn | 54.82 Bn |
| 2 | Cisco Systems | 388.72 Bn | 324.65 Bn | 11.06 Bn |
| 3 | Arista Networks | 233.96 Bn | 183.16 Bn | 2.33 Bn |
| 4 | Dell Technologies | 224.23 Bn | 179.99 Bn | 9.83 Bn |
| 5 | Sony | 161.44 Bn | 95.98 Bn | 7.96 Bn |
| 6 | Sandisk | 130.46 Bn | 115.29 Bn | 9.38 Bn |
| 7 | Seagate Technology Holdings | 116.28 Bn | 111.13 Bn | 2.43 Bn |
| 8 | Western Digital | 107.14 Bn | 96.97 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 64.10 Bn | 41.98 Bn | 4.93 Bn |
| 10 | Nextnav | 1.26 Bn | 1.03 Bn | -905,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.17 Mn |
| Dec 31, 2025 | 792,000.00 |
| Sep 30, 2025 | 3.17 Mn |
| Jun 30, 2025 | 792,000.00 |
| Mar 31, 2025 | 106,000.00 |
| Dec 31, 2024 | 583,000.00 |
| Sep 30, 2024 | 2.33 Mn |
| Jun 30, 2024 | 583,000.00 |
| Mar 31, 2024 | 2.33 Mn |
| Dec 31, 2023 | 583,000.00 |
| Sep 30, 2023 | 7.58 Mn |
| Jun 30, 2023 | 5.98 Mn |
| Dec 31, 2022 | 5.24 Mn |
| Dec 31, 2021 | 4.60 Mn |
| Dec 31, 2020 | 3.56 Mn |
API Access
Nextnav Accumulated 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=accumulated-expenses&ticker=NN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "NN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=NN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();