Ebraj Capital
Research note · 3 September 2026

TechnipFMC plc · NYSE: FTI · Euronext Paris: FTI

The backlog stopped growing. The margin started working.

TechnipFMC is executing better than at any point in its history as a standalone company. Its order book has not grown for four quarters. At $78.31 the market is paying for both. My model produces $46.22 in the central case, and $58.67 at the most generous combination of every judgement call it contains — so the gap to the market is not something the assumptions can be flexed to close.

Exhibit 1

Every outcome the model can produce, against the price you can pay today

$35 $40 $45 $50 $55 $60 $65 $70 $75 $80 $39.99 Low $46.22 Central $53.86 High valuation case · filled marker = base operating scenario, open = best and worst market price $78.31 $46.22 central case, implied share price $35.95 – $58.67 full range across all nine combinations $78.31 market price, 1 September 2026 19% of market cap covered by six years of discounted cash flow and net cash
Nine combinations: three valuation cases (beta, terminal growth, Subsea gross margin, inbound calibration factor) crossed with three operating scenarios (oil price, rig count, working capital days, tax rate). All nine were run and all passed the model’s 110 integrity checks. The market price sits above all of them. Source: Ebraj Capital TechnipFMC model, snapshot 1 September 2026.

01Two things happened in the first half, and they point in opposite directions

The operating story is excellent. First-half revenue of $5,255.8m was 10.2% ahead of last year, operating profit rose 28.6% to $835.7m, and diluted earnings per share went from $0.97 to $1.53. Adjusted EBITDA margin reached 19.9% against 18.1%, and in the second quarter alone the Subsea segment posted a 23.2% adjusted EBITDA margin. Free cash flow of $764.8m funded $724.6m of dividends and buybacks — 94.7% of it returned.

The demand story is not. Subsea inbound orders fell 17.4% to $4,410.8m. Book-to-bill was 0.94x for the half, having been 1.29x a year earlier. Subsea backlog on 30 June 2026 stood at $15,833.2m against $15,810.0m twelve months before — growth of 0.1%. Total backlog, including Surface Technologies, actually shrank.

Neither observation is a surprise on its own. Together they define the question. The company is converting a backlog built in 2023 and 2024 at margins nobody expected, while replacing that backlog at roughly the rate it consumes it. One of those is a level and the other is a rate of change, and the market appears to be extrapolating both.

Exhibit 2

Everything about delivery improved. Everything about demand did not.

H1 2026 against H1 2025H1 2026H1 2025Change
Delivery
Revenue$5,255.8m$4,768.3m+10.2%
Operating profit$835.7m$650.0m+28.6%
Adjusted EBITDA$1,047.9m$864.6m+21.2%
Adjusted EBITDA margin19.9%18.1%+181bp
Subsea operating margin17.8%15.1%+266bp
Diluted EPS$1.53$0.97+57.7%
Free cash flow$764.8m$640.5m+19.4%
Demand
Subsea inbound orders$4,410.8m$5,338.6m−17.4%
Total inbound orders$4,879.0m$5,920.1m−17.6%
Subsea book-to-bill0.94x1.29x−0.35x
Subsea order backlog$15,833.2m$15,810.0m+0.1%
Total order backlog$16,440.0m$16,645.9m−1.2%
Source: TechnipFMC Form 8-K, Exhibit 99.1, filed 30 July 2026. Basis points on margins; book-to-bill is Subsea inbound orders divided by Subsea revenue.

02The order book has flattened and the forecast is generous about it

My model carries FY2026 Subsea inbound of $10,271m. The first half delivered $4,411m. Annualise that and the model is 16.4% above the run rate. That is deliberate — subsea awards are lumpy, the second half is seasonally stronger, and management has guided to roughly $10.0bn — but it should be stated plainly rather than buried: the single most optimistic line in this model is the order forecast, and it is already above what the company has actually booked.

Beyond FY2026 the model has book-to-bill converging on 1.0x by FY2030. That is not a bearish assumption. It says the deepwater cycle stays at today’s level of activity for another five years, which is a real and defensible view of Brazil pre-salt, Guyana and the Norwegian shelf. It is simply not a growth assumption, and the backlog line in Exhibit 3 flattens accordingly.

Exhibit 3

Inbound orders, closing backlog and book-to-bill, FY2022–FY2031

forecast 0 5 10 15 $bn 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 1.0x 1.2x 1.4x 1.6x 0.94x H1-2026 actual closing backlog inbound orders book-to-bill, right scale
Bars: Subsea inbound orders (solid) and closing Subsea backlog (tinted), $bn, left scale. Line: book-to-bill, right scale. FY2022–FY2025 actual, FY2026–FY2031 estimate. The circled point is the H1-2026 reported figure of 0.94x, below every year in the forecast. Source: company filings; Ebraj Capital model.

03The backlog number is noisier than the way it gets used

Backlog drives forecast revenue through a conversion rate: revenue in a year divided by opening backlog. The obvious way to set that rate is to average the last four years. My April model did exactly that and arrived at 65.4%.

That number does not survive contact with the roll-forward. If backlog behaved mechanically, closing backlog would equal opening backlog plus inbound orders less revenue. It does not. Reported backlog also moves for foreign exchange translation, scope changes and cancellations — movements that never pass through the revenue line. The residual was −$559m in FY2023, −$1,230m in FY2024 and +$457m in FY2025.

A conversion rate computed from a denominator that swings by more than a billion dollars for reasons unrelated to operations is not a clean operating statistic. In this version the forecast rate is reset to 60.0%, anchored to the H1-2026 run rate of roughly 59% rather than to a four-year average of a contaminated series.

Exhibit 4

The part of the backlog movement that revenue never explains

−1,200 −800 −400 0 +400 $m base year FY2022 −$559m FY2023 −$1,230m FY2024 +$457m FY2025
Reported closing Subsea backlog less implied closing backlog (opening plus inbound orders less revenue), $m. FY2022 is the base year and reconciles by construction. The residual is foreign exchange translation, scope change and cancellation. At its widest this is 9.1% of closing backlog. Source: company filings; Ebraj Capital model.

04Converting the backlog faster is worth nothing

This is the result I did not expect, and it is the reason the conversion rate debate that dominates coverage of this sector is largely beside the point.

Raise the conversion rate from 60.0% to 65.4% and revenue rises in every forecast year. The implied share price does not move. It stays at $39.99 in the low case, to the cent.

Why the two effects cancel

Contract liabilities — customer advances against work not yet performed — run at 14.9% of closing backlog. Burning the backlog faster pulls revenue forward, but it also shrinks the backlog faster, and the advances unwind with it. The working capital release reverses.

The present value of the FY2026–31 cash flows falls by $95m. The present value of the terminal value rises by $94m. Net effect on enterprise value: one million dollars on a $19bn number.

Conversion speed is a timing assumption, not a value assumption. An analyst who moves their price target on a change in backlog conversion has either modelled the customer advances differently from me, or has not modelled them at all.

The same logic constrains how much comfort the backlog can offer. It tells you the revenue is coming. It tells you almost nothing about the margin at which it arrives, and the margin is where the entire valuation gap lives.

05The forecast, and where it is deliberately too conservative

Revenue reaches $11.9bn by FY2031 and EBITDA $2.33bn. EBITDA margin steps up to 20.2% in FY2026 and then sits there. That plateau is an assumption, not a forecast: Subsea gross margin is held at 25.0% and Surface at 22.2% for six consecutive years, after four consecutive years of Subsea margin expansion.

It is the single largest source of conservatism in the model and I am flagging it rather than defending it. The second quarter of 2026 produced a 23.2% Subsea adjusted EBITDA margin. If that is the new structural level rather than a mix effect, the flat-margin assumption is wrong and the valuation below is too low. Exhibit 8 prices exactly how wrong: moving Subsea gross margin from 24.0% to 25.5% is worth $3.40 a share.

Exhibit 5

Revenue and EBITDA margin, FY2022 actual to FY2031 estimate

forecast 0 2 4 6 8 10 12 $bn 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 8% 12% 16% 20% margin held flat by assumption total revenue EBITDA margin, right scale
Total revenue, $bn, left scale; EBITDA margin, right scale. FY2022–FY2025 actual, FY2026–FY2031 estimate. The margin plateau reflects gross margins held flat by assumption from FY2026. Source: company filings; Ebraj Capital model.

Against reported results and company guidance the rest of the model sits mid-range or below. Free cash flow is 14.1% under the first-half run rate and below the bottom of guidance. Earnings per share is 4.3% below the run rate. The tax rate is set above the 25.2% actually paid in the first half. Where the model departs from guidance it departs downward — with one exception, the order forecast discussed above.

Exhibit 6

Where the model sits against reported results and company guidance

FY2026 estimateModelH1 annualisedGapCompany guidanceAssessment
Subsea revenue$9,540m$9,390m+1.6%$9,200 – 9,600min range
Surface Technologies revenue$1,181m$1,121m+5.4%$1,150 – 1,300min range
EBITDA$2,167m$2,096m+3.4%no guidance
EBITDA margin20.2%19.9%+27bpbelow H1 exit rate
Diluted EPS$2.93$3.06−4.3%below run-rate
Effective tax rate28.0%25.2%+276bp27 – 31%in range
Capital expenditure$341m$231m+47.3%~$340mmatches guidance
Free cash flow$1,315m$1,530m−14.1%$1,300 – 1,450mbelow run-rate
Subsea inbound orders$10,271m$8,822m+16.4%~$10,000m targetabove run-rate
Net interest expense$3m income$19m expense$10 – 20m expenseknown variance
Model FY2026 estimate against the first half of 2026 annualised and against guidance issued 19 February 2026 and reaffirmed at the second quarter. The net interest variance is a known modelling issue — lease interest is routed through financing cash flow — and has no effect on enterprise value, because the valuation discounts unlevered cash flow from EBIT. Source: Form 8-K, 30 July 2026; Ebraj Capital model.

One further point about what is actually being discounted. Named, awarded contracts cover 37% of FY2026 Subsea revenue, 13% of FY2027 and 1% of FY2028. Everything after that is the backlog conversion model. This is normal for a business with a two-to-four year cycle from award to revenue, and it is the correct way to build the forecast — but it means the visibility that supports the multiple is contractual for the current year and statistical thereafter.

Exhibit 7

How much of forecast Subsea revenue is a signed contract

0 5 10 $bn 6% 2022 33% 2023 46% 2024 43% 2025 37% 2026 13% 2027 1% 2028 0% 2029 named contract revenue balance of Subsea revenue
Named contract revenue (solid) as a share of total Subsea revenue (tinted), $bn. Thirty-eight awarded projects with estimated revenue phasing, including bp Kaskida and Tiber, ExxonMobil Whiptail and Hammerhead, and Equinor Johan Sverdrup Phase 3. The schedule thins because later awards are not yet in it, not because work stops. Source: company announcements; Ebraj Capital contract schedule.

06What my own judgement is worth, priced call by call

A discounted cash flow is mostly an argument about four or five numbers that cannot be observed. Rather than present a single target and a sensitivity table, this model isolates each judgement call and prices it. Start from the low case, where all four calls sit at the conservative end, and move one at a time.

Exhibit 8

Valuation bridge: each judgement call, priced on its own

$40 $45 $50 $55 $60 $65 $70 $75 $80 vs low case Low case · all four calls conservative $39.99 Beta 0.90 → 0.764 $44.45 +4.46 Subsea gross margin 24.0% → 25.5% $43.39 +3.40 Terminal growth 2.00% → 2.50% $42.07 +2.08 Inbound factor 0.949 → 1.000 $42.05 +2.06 Backlog conversion 60.0% → 65.4% $39.99 — no change at all 0.00 Central case $46.22 +6.23 High case · all four calls optimistic $53.86 +13.87 Market price $78.31 +38.32 $58.67 best outcome the model can produce
Implied share price from the low case ($39.99) flexing one input at a time, then the central and high cases where all four move together. The individual levers do not add up: they interact through the tax and working capital schedules, and summing them overstates the combined effect by roughly $6 a share, which is why the central case sits below a naive addition. Source: Ebraj Capital model, snapshot 1 September 2026.

The largest single lever is beta, worth $4.46 a share between 0.90 and 0.764. It is also the least observable input in the model, which is an uncomfortable but honest place to end up: the biggest swing factor in my valuation is the number I can defend least. The central case uses 0.85.

Beneath the levers, the arithmetic of the discount rate is unglamorous. A 4.3% risk-free rate, a 5.5% equity risk premium and a beta of 0.85 give a cost of equity of 8.97%. With debt at 1.5% of capital the weighted average cost of capital is 8.89%. Terminal growth of 2.25% is a nominal GDP proxy. On those inputs the present value of six years of unlevered free cash flow is $5,780m, the terminal value is $13,015m, and enterprise value is $18,796m — with 69% of it beyond FY2031.

07What you would have to believe to own it at $78.31

Run it backwards. Hold the operating forecast still and ask what discount rate and terminal growth rate reproduce $78.31. Neither lever gets there alone. Cut the discount rate all the way to 7.39% while holding terminal growth at the central 2.25%, and the answer is $59.42. Raise terminal growth to 3.75% while holding the discount rate at 8.89%, and the answer is $55.86. Both at once, at the extreme corner of the grid, produce $78.29 — two cents short of the close.

A 7.39% weighted average cost of capital on these inputs implies an equity beta of about 0.57 for a company whose revenue depends on operator sanctioning decisions. Terminal growth of roughly 3.3% is a full percentage point above the nominal GDP proxy this model uses, in perpetuity. Each is arguable in isolation. Both at once, plus margins at or above the second quarter exit rate, is the position embedded in the price. Of the forty-nine cells in Exhibit 9, none reaches today’s price.

Exhibit 9

Implied share price across discount rate and terminal growth

WACC \ terminal growth0.75%1.25%1.75%2.25%2.75%3.25%3.75%
7.39%49.0851.9655.3659.4264.3570.4878.29
7.89%45.6848.1050.9254.2458.2063.0269.01
8.39%42.7244.7847.1549.9053.1457.0261.73
8.89%40.1341.8943.9046.2248.9152.0855.86
9.39%37.8439.3641.0943.0545.3147.9451.04
9.89%35.8037.1338.6240.3042.2244.4347.00
10.39%33.9735.1436.4337.8939.5441.4143.58
Each cell re-discounts the full FY2026–31 unlevered free cash flow stream and recomputes the Gordon Growth terminal value at that pair — it is not a scaled approximation. The black outline is the central case (8.89% / 2.25%). The outlined cell is the highest the grid produces — $78.29, at a 7.39% cost of capital and 3.75% terminal growth in perpetuity. The close on 1 September was $78.31. No cell reaches it. Source: Ebraj Capital model.
At $78.31, six years of discounted unlevered cash flow plus net cash cover 19% of the market capitalisation. The remaining 81% is a claim on what happens after 2031.

Two cross-checks say the same thing in different units. On enterprise value the market pays 14.9x FY2026 estimated EBITDA against 8.7x on the model’s own enterprise value. And the nine-cell scenario matrix — every valuation case crossed with every operating scenario — spans $35.95 to $58.67. The market price lies outside all nine.

Exhibit 10

All nine scenario combinations

Implied share priceBaseBestWorst
Low valuation case$39.99$43.67$35.95
Central valuation case$46.22$50.39$41.63
High valuation case$53.86$58.67$48.58
Market price$78.31
Valuation cases set beta, terminal growth, Subsea gross margin and the inbound calibration factor together. Operating scenarios set oil price, rig count, working capital days and tax rate together. All nine combinations were run and all passed the model’s 110 integrity checks. Source: Ebraj Capital model, snapshot 1 September 2026.

08Where this is most likely to be wrong

The honest reading of the gap is not that the market is irrational. It is that the market is underwriting a margin level and a cost of capital that this model declines to underwrite. Four places where that decision could prove mistaken:

Known limitations, stated rather than smoothed over

Right-of-use assets are held flat while lease liabilities accrue, so the two drift apart; fixing it properly would reduce EBIT. Net interest shows $3m of income against guidance of $10–20m of expense, because lease interest is routed through financing — no effect on enterprise value, and deliberately left unplugged rather than fudged. Derivative and other working capital lines are held at FY2025 levels pending the Q2 10-Q. The Surface Technologies regression rests on three observations and is directional only; Surface is 11% of revenue. The conflict in Iran is not modelled as a separate factor: direct exposure is small and disclosed — the Middle East is roughly 4% of group revenue, concentrated in Surface, and the company attributed part of the second-quarter Surface decline to reduced regional activity — while the pipelay fleet works the Gulf of Mexico, North Sea and Brazil, not the Gulf. The exposure that matters is indirect and sits in the oil deck above.

09What would change the number

Four observable things, each with a price attached:

None of this is an argument that TechnipFMC is a poor business. It is the best-executing company in its peer group, it has the only net cash balance sheet among them, and the deepwater cycle it serves is structurally supported through the end of the decade. The question this note answers is narrower: what price the company’s own numbers support once each judgement call is made explicit and priced.

On my numbers that price is $46.22, and no combination of the four calls I am willing to make reaches $78.31. I would rather publish a valuation the model can actually produce than reverse-engineer one that agrees with the tape.