Parsons (PSN) Cost of Revenue (2018 - 2026)
Parsons (PSN) recorded Cost of Revenue of $1.28 billion in Q2 2026, up 3.6% from $1.24 billion a year earlier and up 13.0% from the prior quarter.
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Analysis
Parsons (PSN) Cost of Revenue (2018 - 2026) Analysis & Trends
On a TTM basis, Parsons' Cost of Revenue came in at $4.91 billion as of Jun 30, 2026, down 6.5% year-over-year; for FY2025, it came in at $4.93 billion, down 7.7% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $5.34 billion in FY2024 (+26.1%), $4.24 billion in FY2023 (+30.4%), $3.25 billion in FY2022 (+15.7%) and $2.81 billion in FY2021 (-7.7%).
- The Q2 2026 figure is the highest quarterly Cost of Revenue since Q4 2024.
- On a year-over-year basis, Cost of Revenue rose in three of the last eight quarters, with growth averaging 2.3%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 36.6% in Q2 2023, against a decline of 13.0% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.13 billion (Q1 2026), $1.23 billion (Q4 2025) and $1.26 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.67 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 19.58 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 22.15 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 17.62 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 1.60 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 11.91 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.46 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 8.76 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 6.07 Bn |
| 10 | Parsons | 4.36 Bn | 3.04 Bn | 295.24 Mn | 1.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.28 Bn |
| Mar 31, 2026 | 1.13 Bn |
| Dec 31, 2025 | 1.23 Bn |
| Sep 30, 2025 | 1.26 Bn |
| Jun 30, 2025 | 1.24 Bn |
| Mar 31, 2025 | 1.20 Bn |
| Dec 31, 2024 | 1.36 Bn |
| Sep 30, 2024 | 1.45 Bn |
| Jun 30, 2024 | 1.32 Bn |
| Mar 31, 2024 | 1.21 Bn |
| Dec 31, 2023 | 1.13 Bn |
| Sep 30, 2023 | 1.12 Bn |
| Jun 30, 2023 | 1.07 Bn |
| Mar 31, 2023 | 917.19 Mn |
| Dec 31, 2022 | 860.46 Mn |
| Sep 30, 2022 | 872.42 Mn |
| Jun 30, 2022 | 781.77 Mn |
| Mar 31, 2022 | 733.90 Mn |
| Dec 31, 2021 | 723.89 Mn |
| Sep 30, 2021 | 734.65 Mn |
API Access
Parsons Cost of Revenue 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=cost-of-revenue&ticker=PSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "PSN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=PSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();