Iridium Communications (IRDM) Operating Expenses (2009 - 2026)
Iridium Communications' Operating Expenses was $191.23 million in Q2 2026, up 14.8% from $166.65 million a year earlier and up 13.6% from the prior quarter.
Iridium Communications (IRDM) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Iridium Communications' Operating Expenses was $674.11 million through Jun 30, 2026, up 5.3% year-over-year; for FY2025, it was $635.68 million, up 0.9% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $630.3 million in FY2024 (-11.1%), $709.1 million in FY2023 (+10.0%), $644.36 million in FY2022 (+13.4%) and $568.19 million in FY2021 (+3.7%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q2 2023.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 3.6%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2023 (growth of 35.7%); the worst was Q2 2024 (a decline of 24.7%).
- Per Business Quant data, IRDM's Operating Expenses in the three quarters before Q2 2026 was $168.34 million (Q1 2026), $157.69 million (Q4 2025) and $156.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 193.94 Bn | 158.35 Bn | 27.03 Bn | 27.07 Bn |
| 2 | T-Mobile US | 178.90 Bn | 163.65 Bn | 14.76 Bn | 17.30 Bn |
| 3 | At&T | 170.76 Bn | 118.71 Bn | 25.82 Bn | 24.52 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn | -117.85 Mn |
| 5 | Comcast | 77.07 Bn | 41.32 Bn | - | 24.78 Bn |
| 6 | Chunghwa Telecom | 35.67 Bn | 31.52 Bn | 728.80 Mn | 309.31 Mn |
| 7 | EchoStar | 25.89 Bn | 17.02 Bn | 1.65 Bn | 3.06 Bn |
| 8 | AST SpaceMobile | 23.74 Bn | 24.24 Bn | 7.95 Mn | 329.10 Mn |
| 9 | Bce | 19.19 Bn | 17.52 Bn | - | -2.51 Bn |
| 10 | Iridium Communications | 5.12 Bn | 4.64 Bn | 160.45 Mn | 191.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 191.23 Mn |
| Mar 31, 2026 | 168.34 Mn |
| Dec 31, 2025 | 157.69 Mn |
| Sep 30, 2025 | 156.85 Mn |
| Jun 30, 2025 | 166.65 Mn |
| Mar 31, 2025 | 154.49 Mn |
| Dec 31, 2024 | 160.88 Mn |
| Sep 30, 2024 | 157.92 Mn |
| Jun 30, 2024 | 157.42 Mn |
| Mar 31, 2024 | 154.08 Mn |
| Dec 31, 2023 | 148.44 Mn |
| Sep 30, 2023 | 169.45 Mn |
| Jun 30, 2023 | 209.08 Mn |
| Mar 31, 2023 | 182.13 Mn |
| Dec 31, 2022 | 175.06 Mn |
| Sep 30, 2022 | 166.19 Mn |
| Jun 30, 2022 | 154.12 Mn |
| Mar 31, 2022 | 148.99 Mn |
| Dec 31, 2021 | 145.21 Mn |
| Sep 30, 2021 | 147.13 Mn |
Iridium Communications 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=IRDM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IRDM", "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=IRDM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();